1、DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING SUPPLY CHAINS OFTHE FUTURE 2|DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS External Document 2022 Infosys LimitedDIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS|3External Document 2022 Infosys LimitedContents

2、The past,present,and future of digital supply chains 6Manufacturing Make-to-order with consolidated procurement to navigate supply shortages 8Manufacturing Increased data sharing for supply chain transparency 9High-tech End-to-end digitization of in-factory and supply chain operations to maximize yi

3、eld 10High-tech AI-based predictive maintenance and smart automation for higher operational efficiency 11Consumer,retail,and logistics Stockless order fulfillment becomes the norm 12Consumer,retail,and logistics AI-powered demand planning gains prominence 13Mining Digital twins adoption grows for ex

4、isting and new mine sites 14Mining Miners turn to smart inventory management and logistics to optimize supply-chain 16References 17Supply chains have traditionally focused on efficiency and cost optimization.But now,flexibility and agility are vital to staying relevant amid rising disruptions and un

5、certainties.Digitization is key for an efficient and transparent supply chain that enhances responsiveness through agility.A self-curating supply chain alerts on critical issues and recommends appropriate actions.And then,organizations sense,react,and act competently to become future-ready with pred

6、ictive capabilities.4|DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINSExternal Document 2022 Infosys LimitedDIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS|5External Document 2022 Infosys LimitedRecent disruptions,including COVID-19,environmental events such

7、as snowstorms and tsunamis,and semiconductor chip shortages have challenged organizations supply chain efficiency.Emerging business models,increased mergers and acquisitions to acquire niche capabilities,and multiple layers of stakeholders increase the complexity of supply chains.Amid all these chal

8、lenges,organizations focus has shifted from cost reduction to supply chain resilience.They look at design changes and consider long-term contracts to secure supplies.Their top-most priority is to invest in technologies that provide early and real-time view of potential disruptions,enabling to contin

9、uously monitor critical business key performance indicators(KPIs).The future supply chain will self-sense(predict potential disruptions),self-analyze(diagnose and recommend options),and self-respond(act on the best option to address the situation at hand).Infosys Live Enterprise solution provides kn

10、owledge graphs,cognitive competencies,bots,and persona-based dashboards,to achieve following capabilities:The knowledge graph connects data with disparate systems and sources.The digital brain provides multiple options and helps choose the best action along with predictive capabilities.The experienc

11、e configurator provides persona-based dashboards,which are contextualized based on user persona.Organizations are considering moving to cloud-based offerings to accelerate their digital transformation.Hyperscalers and supply chain solution providers are allaying fears around data latency,security,an

12、d scalability.And firms must make the shift sooner rather than later.How an organization collects,manages,and analyzes data determines the health of its supply chain.It is important to collect real-time data and connect it together to do away with silos across the entire value chain comprising suppl

13、iers,partners,internal and external systems,logistics,and distribution networks.Once the organization is assured of the quality of data,its artificial intelligence(AI)/machine learning(ML)capabilities to predict scenarios and take corrective action help build a self-curating supply chain.6|DIGITAL S

14、UPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS External Document 2022 Infosys LimitedThe past,present,and future of digital supply chains Figure 1 The three horizonsH2Intelligent supply chainsH1Supply chain visibilityPredictive insights for users to take business decisionsReal-time moni

15、toring of key supply chain elements,including KPIsKEY PATTERNS Virtual monitoring and autonomous control Prescriptive capabilities Cognitive automation 5G Supply chain as a service Green supply chain Predictive maintenance by condition monitoring Disruption monitoring and ETA prediction ML models fo

16、r price prediction Data Analytics Customer behavior insights IoT Digital twins Standalone functional control towers Fleet management Route optimization Cloud-native solutions Robotic process automation(RPA)Data collection and transformation Workflow and approval management ChatbotsH3Self-curating su

17、pply chainSupply chain capable of learning and evolving with minimum human interventionSource:InfosysDIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS|7External Document 2022 Infosys LimitedFigure 2 Digital supply chain key trendsSource:InfosysH1 Supply chain visibilitySupply chai

18、n networks have become complex with increasing number of organizations and suppliers and suppliers.Many organizations now invest in digital capabilities to tackle supply chain disruptions and achieve competitive advantage.They use various applications and modes to capture critical business/operation

19、al data.Process automation/optimization through RPA and KPI monitoring have seen wide implementation recently.Companies that have already embarked on their digital transformation journeys have successfully achieved the first milestone of gaining visibility at the node level.Now,they are shifting foc

20、us towards data processing and analysis for further value addition(H2).H2 Intelligent supply chainsWith the basic tools and applications in place,companies now desire to get predictive insights from the stored data.Predictive capabilities provide sophisticated data-driven insights that are otherwise

21、 difficult to achieve through human intelligence.By understanding a potential disruption well in advance,managers can take necessary steps to mitigate the impact.Another key trend is digital twins,which create a virtual replica of the supply chain,simulate the actual supply chain network,and enable

22、scenario planning to support key business decisions.Following this,companies will look for digital solutions that are predictive as well as prescriptive(H3).H3 Self-curating supply chainSelf-curating supply chains learn,evolve,and take actions independently with minimal human intervention.This bring

23、s agility and effectiveness in supply chains.These supply chains are vital to tackle global disruptions such as pandemic,war,route blockages(e.g.,the Suez Canal blockage),and extreme weather conditions.A self-curating supply chain is visualized as a single ecosystem rather than a group of multiple i

24、solated nodes.The primary pre-requisite of a self-curating supply chain is to have all its nodes connected in real time.Technologies such as 5G help with real-time information dissemination across the entire ecosystem,creating end-to-end visibility in real time.This supply chain is augmented with pr

25、escriptive analytics,which facilitates continuous learning from past actions.This implies better accuracy of decisions as more data is gathered over time.Such capabilities will soon make operator-less factories,or operators virtually running the factories from any part of the world,a reality.Another

26、 important theme of H3 is the green supply chain for a sustainable ecosystem.There has been some progress towards monitoring of KPIs to keep a check on the carbon footprint of the various supply chain elements.However,the focus is now moving towards automated recommendations by machines for executiv

27、es to act,and even to take corrective actions on their own in case of any deviations from the set target levels of sustainability metrics.Trend 1.Make-to-order with consolidated procurement to navigate supply shortagesTrend 2.Increased data sharing for supply chain transparencyTrend 3.End-to-end dig

28、itization of in-factory and supply chain operations to maximize yieldTrend 4.AI-based predictive maintenance and smart automation for higher operational efficiencyTrend 5.Stockless order fulfillment becomes the normTrend 6.AI-powered demand planning gains prominenceTrend 7.Digital twins adoption gro

29、ws for existing and new mine sitesTrend 8.Miners turn to smart inventory management and logistics to optimize supply-chainManufacturingHigh-techConsumer,retail,and logisticsMining8|DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS External Document 2022 Infosys LimitedSupply chain

30、 disruptions following COVID-19 have hindered the global economic recovery.The disturbances shaved off 0.5 to 1 percentage point of global gross domestic product growth in 2021,according to the International Monetary Fund(IMF).1 Manufacturers have taken required initiatives such as supplier diversif

31、ication,nearshoring,strategic partnerships,and freight tracking.However,many of the factors for these initiatives to be successful are beyond manufacturers control.Supply chain management traditionally emphasizes cost efficiency,faster delivery,and quality.But the post-pandemic era has increased org

32、anizations focus on resiliency.Manufacturers mitigate the impact of supply chain disruptions by first reengineering their internal systems and processes to achieve resiliency.Enterprises proactively recalibrate factors under control such as business models,IT applications,and workflow processes to t

33、ackle supply chain volatilities and uncertainties.2 MANUFACTURING Trend 1 Make-to-order with consolidated procurement helps navigate supply shortages Global challenges that started from the pandemic to supply chain disruptions,such as the Suez Canal blockage and the more recent Ukraine war,have resu

34、lted in a severe shortage of critical parts and materials.One trend prevalent in discrete manufacturing to address this challenge is the shift to make-to-order business models.A finished good will be made only when there is a confirmed order from a customer for it.It is a shift from a forecast-based

35、 push model to a pull model.This shift to make-to-order is not an easy change.Ford recently followed this approach to manage the shortage of semiconductor chips.3 The finished goods inventory will be minimal in this way.However,the lead time for delivery of vehicles to customers will be much longer.

36、Enterprise resource planning(ERP)DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS|9External Document 2022 Infosys Limitedsystems need to transform to adapt to this change.A standard bill-of-material is no longer used to make batches of products.Instead,each product has its own un

37、ique product configuration.Along with this change to make-to-order,one efficient approach for bought-out parts is to standardize procurement processes and consolidate purchase orders.Infosys has designed and implemented a standardized model and purchasing tool for a leading multinational elevator ma

38、nufacturer and service provider.The new model standardized the requisitioning process across the countries where the firm operates and introduced e-catalogs.Using these techniques,manufacturers leverage consolidated volume requirements at pre-negotiated pricing,resulting in cost savings and faster d

39、elivery.The new system provides spend visibility through which the purchasing manager can review non-catalog purchases for their reduction.Negotiated contracts regarding price points and lead times strengthen catalog offerings.In futuristic supply chains,it will not be sufficient to share shipment i

40、nformation only with upstream suppliers and downstream customers,but with other partners too.One example is the U.S.governments recently launched information sharing initiative for supply chains FLOW(Freight Logistics Optimization Works).As part of this initiative,ocean carriers,ports,trucks,and ret

41、ailers will share key data related to cargo flow,to speed up goods movement and avoid any bottlenecks.We see such information-sharing initiatives scaling up and replicated in other regions across industries.Digital supply chains are important for sustainability too.Carbon emission is broadly classif

42、ied into Scope 1,2 and 3,according to the Greenhouse Gas Protocol.Scope 1 emission is direct on-premise in a firm,from burning of fuels for power generation and transportation.Scope 2 emission is from running of equipment using energy bought from outside.Both are under an organizations control.But S

43、cope 3 is the emission that happens upstream and downstream in the supply chain and beyond a firms direct control.It constitutes more than 70%of the total emission,depending on the industry.Within Scope 3 emission,supply chain is a major contributor.Digital supply chains are important for organizati

44、ons that are serious about Scope 3 emission reduction,to measure carbon emissions,and take initiatives for net-zero emission.Trend 2 Increased data sharing for supply chain transparencyOne approach to mitigate the risks associated with supply chain disruptions is transparency.A digital supply chain

45、uses technologies to measure key parameters and share them with a central control tower.Another approach is that stakeholders not only gather relevant information,but also share it with partners.Agricultural commodities change hands several times in their journey from a farm to a fork.The supply cha

46、in becomes complex,with broken information flow at several points.The shipment data resides in siloed systems of each player in the chain.A verifiable and integrated view across the ecosystem is a challenge.Infosys implemented a blockchain-based,industry agnostic distributed application for an agro

47、supply chain.4 It has integration adapters to connect with diverse ERP applications,in addition to capturing data feed from internet of things(IoT)devices.A pilot was first implemented for a particular agri commodity in a specific geography.The implementation resulted in a unified,single source of t

48、ruth for shipment data,optimized reconciliation efforts across stakeholders,reduction in certification costs through digital documents,and integration with existing applications to maintain status quo.10|DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS External Document 2022 Info

49、sys LimitedHIGH-TECHSemiconductor companies have witnessed a massive increase in demand for chips since the pandemic started,causing a global chip shortage that has disrupted supply chains across industries worldwide.Reportedly,leading players including Samsung,Intel,and Taiwan Semiconductor Manufac

50、turing Company(TSMC)are facing yield issues,affecting their customers product timelines as well as causing them to lose major deals.5,6,7While these companies strive to increase production volumes,they must also resolve for another major pressing concern inadequate production yield.Production yield

51、is the prime factor controlling wafer processing costs.8 Given the semiconductor business is a highly complex one with hundreds of intricate processes,the chances of defects creeping in are always high.To improve yield and the percentage of manufactured products clearing all quality checks the first

52、 time around,companies need to focus on the quality of inputs,process discipline,advanced analytics,and piecing together every part of the value chain in perfect synchronization.9 These aspects can be evaluated and improved upon by deploying several digital technologies,including AI,ML,IoT,5G,spatia

53、l computing and design,and AR/VR.They can help extract untapped efficiencies from the minutest of processes by facilitating complete supply chain visibility,predictive maintenance,large-scale automation,and data-driven decision-making.Trend 3 In-factory and supply chain operations reach end-to-end d

54、igitizationIndustry players strive to create a digitally integrated system that collects data on all objects and processes within the factory and on external supply chain elements.Such end-to-end digitization of materials,machines,and processes enable faster changeovers,single-minute exchange of die

55、s,and plug-and-produce capabilities,resulting in improved yields.It is achieved through a comprehensive network of sensors and IoT devices,which are managed through a central supply chain management system.This kind of system also enables dynamic machine allocation by informing factory workers about

56、 the readiness of machines.For instance,it tells which machines are lying idle,which ones are nearing completion of the previous batch,and which ones are ready with the required dies already fitted.This helps optimally choose the correct options for maximum yield and minimum loss of resources(includ

57、ing time).DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS|11External Document 2022 Infosys LimitedFurther,such connected systems help form a digital thread across the supply chain,which provides complete visibility into operations and schedules of suppliers,warehouses,and intern

58、al processes.This synchronizes production plans with shipment timings,and order picking and packing with transportation schedules of third-party logistics partners.AI/ML augment these systems to make dynamic predictions for demand,supply,resource availability,and utilization rates,based on evolving

59、economic conditions and other factors.Infosys engaged with a leading enterprise networking and security equipment manufacturer to build an integrated digital supply chain solution to help the firm gain complete visibility into its operations.The manufacturer invested approximately$2 million in this

60、initiative,and was able to improve productivity and optimize order fulfillment by connecting its supply,demand,and inventory management operations.It surpassed its ship-to-first commit target of 95%with improved on-time delivery performance while reducing lead times for inbound supplies.Essentially,

61、in addition to the production yield,the company improved its customer satisfaction scores too.Trend 4 AI-based predictive maintenance and smart automation AI-based predictive maintenance solutions prevent equipment/machine shutdowns and efficiency losses by proactively attending to maintenance issue

62、s and ensuring the timely availability of spare parts.Data collected from various equipment/machines in real time is used to detect patterns and improve maintenance schedules,which leads to better first-time fix rate.It also helps predict the working age and utilization rates of equipment and parts,

63、which can even be benchmarked against industrys top quartile performance.Moreover,such smart systems suggest corrective actions to keep the machinery running at maximum efficiency,and alert designated users if required.Additionally,AI-based digital supply chain solutions help integrate automation ac

64、ross various nodes of a supply chain.For instance,warehouse automation allows just-in-time practices within factory operations,and enables automatic picking of materials from storage facilities.Further,RPA reduces human intervention across supply chain processes,creating time to identify and underta

65、ke further improvements.Also,reduced human errors improve wafer processing,leading to improved yield rate.Such solutions are further complemented by digital twins or virtual replicas of the entire supply chain and operations.When data is delivered on digital twins,manufacturers determine the perform

66、ance of assets and processes through a centralized system in real time and take preventive actions.These solutions help identify and plug the smallest of productivity and quality gaps,improving yield.A leading U.S.-based electronic components distributor wanted to improve efficiencies in its order m

67、anagement processes through automation.Infosys deployed an AI-based automation solution to remove manual interventions from tasks such as prediction of the block removal date for a backlog sale order.It also alerted account managers and triggered ERP systems to remove the block.This significantly re

68、duced staff hours,allowing more time for further process improvements.12|DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS External Document 2022 Infosys LimitedCONSUMER,RETAIL,AND LOGISTICSCOVID-19,global weather events,driver shortages,and the Suez Canal blockage exposed the fra

69、gility of global supply chains in 2021.The war in Ukraine and ongoing economic issues continue to challenge supply.This has renewed the focus to build intelligent supply chain systems that can cope with disruptions effectively.Intelligent supply chains are built on three foundational elements stock

70、visibility across networks,automated decision making,and effective partnerships.These elements manifest themselves through concepts such as inventory control towers,AI-enabled demand forecasting and streamlined inventory information across consumer industries network.In todays environment,sustainabi

71、lity and the ability to cheaply facilitate product returns are differentiators.However,the overall success largely relies on how efficiently retailers,consumer goods companies,and logistics organizations collaborate.Deep integration of data and execution,with flexibility and interchangeability of su

72、ppliers and strategies,is required.Recent strides forward in AI,ML,blockchain,and other advanced technologies will help build the ability to deliver future-ready resilient supply chains.Beyond that,collaborations and strategic alignments among suppliers,manufacturers,and their customer-facing retail

73、ers remain crucial for resiliency and efficiency.Trend 5 Stockless order fulfillment becomes the norm Typically,retailers sell the stock they have.But,given the turbulent times,many retailers often dont have that stock on hand.Stockless order fulfillment enables brands to network with retailers and

74、distributors to share inventory data.If the stock is unavailable at the brands warehouse,orders can be fulfilled from the partner retailers warehouse.For example,under such an initiative,Adidas can directly ship products to customers of a fashion retailer Very,when the latter is unable to fulfill th

75、e orders directly.10When consumers browse through brands or retailers,they can see the entire shared inventory.Orders are fulfilled from the nearest warehouse to the destination,allowing sellers to choose the most efficient way to deliver and delight customers.With many moving parts,a lack of visibi

76、lity restrains a flexible supply chain.Inventory control towers that provide real-time insights can enable organizations anticipate and fulfill demand.These towers become DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS|13External Document 2022 Infosys Limitedthe single point of

77、contact for information flow between multiple locations and parties.They integrate supply chain planning,ordering,transportation,and inventory management.These features make control towers a powerful tool to control end-to-end supply chain operations.More sophisticated control towers can support fas

78、ter and more automated decision-making,releasing teams to focus on other strategic tasks(Figure 3).Infosys helped a leading U.S.-based sporting goods company ensure that lack of stock doesnt affect sales.It built a platform for order management across different markets,which helped the company fulfi

79、ll orders efficiently using the network of affiliates,marketplaces,and its own distribution centers,helping its digital sales grow by 20%in a year.Trend 6 AI-powered demand planning gains prominenceUneven demand in highly fluctuating environments is a major challenge for companies,especially for mul

80、tiple products across geographies.Demand forecasting errors can lead to excess stock or out-of-stock situations.Regional factors such as weather,sports events,and cultural differences add to the complexities.Several parameters in a complex supply chain make it difficult to manage decisions and deman

81、d.Better demand forecasting capabilities can reduce the effort required to fire fight sudden emergencies,allowing companies to focus on strategic initiatives.AI helps retailers identify relationships between datasets,recognize patterns,detect demand fluctuations,and recommend optimal stock levels fo

82、r thousands of stock-keeping units at their distribution centers.AI-powered demand forecasting can reduce forecasting errors by up to 50%and inventory levels by 20-50%,reducing lock-in of working capital.AI helps companies incorporate wide scope of parameters ranging from external market conditions

83、to granular store level data.This allows companies to plan their assortments,labor requirements,promotions,and pricing.A European CPG company built predictive demand forecasting capabilities with the help of Infosys.The company could make weekly forecasts with 92%accuracy overall and 93%at an indivi

84、dual retailer level.It also built a dashboard to simulate forecasts by changing sales drivers such as price,promotion,distribution,and the number of products to accommodate the fluctuations.This helped the company get real-time insights and helped faster decision making.Figure 3 Control towers integ

85、rate information flow from different parts of supply chainsAnalysticsStock statusOrderingTransportationInventorymanagementThird-partylogisticsDistributorCarrierSupplierCPGRetailerInventory control towerSource:Infosys14|DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS External Doc

86、ument 2022 Infosys LimitedMININGMining supply chain has always been a complex affair(figure 4)and the dynamic global business environment is making it more complicated.Minerals demand is evolving globally.Newer products and environmental goals are pushing businesses toward resources with lower carbo

87、n footprint or those that help reduce it.Miners are revisiting their supply chain strategies to cope with global events of the past few years such as the pandemic and Suez Canal blockage.Digital technologies help miners optimize operations,streamline supply chain,and boost sustainability.Miners digi

88、tize their operations through cloud,AI/ML,AR/VR,digital twins,RPA,and other technologies to visualize their physical operations.This helps them identify areas that need optimization and simulate multiple solutions to finalize the optimal one quickly.They predict any challenges and issues well in adv

89、ance and fix them early.Miners use RPA to automate procurement function and place orders at the right time to avoid production delays.They also explore the latest technologies like quantum computing to optimize logistics and develop newer materials.Collectively,these technologies connect miners to t

90、ake real-time business decisions with utmost accuracy and agility.It enables seamless mining operations across production,maintenance,procurement,logistics,and other allied functions.However,adopting these technologies requires substantial capital investment and careful tracking of returns on those

91、investments at each step of the digital transformation journey.Trend 7 Digital twins adoption grows for existing and new mine sitesDigital twins help miners improve mine performance for existing and new mine sites.These virtual models of physical sites create a virtual replica of physical mine site

92、objects.The systems rely on technologies like AR/VR to model and simulate mine site and activities,which is in turn used for cause-and-effect analysis to better predict and solve operational challenges.The technology helps miners virtually visualize their supply chain and operations.It boosts operat

93、ional visibility and real-time management of production,inventory,product pipeline,and deliveries.To augment the AR/VR based tech,autonomous systems are used to speed-up decision-making.It also facilitates fast and efficient integration of information-and operational-technology.Backed by cloud-enabl

94、ed systems,it eases the data flow from mine sites to points of decision making,irrespective of geographic distance between the two.DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS|15External Document 2022 Infosys LimitedInfosys portfolio of mining solutions use AI,IoT,cloud,and e

95、xtended reality(XR).Infosys digital twin connects physical operations to their digital counterpart.The platform helps miners boost efficiency with IT and OT convergence and provides AI and ML powered business insights.Here,industry 4.0 technologies boost operational efficiency with autonomous haulin

96、g,and AR/VR/XR technologies enhance worker safety.Infosys digital data management framework backs this platform with deep data management expertise,including accelerators,governance best practices,and quality enhancement.Infosys Cloud Migration Framework acts as the backbone to operationalize digita

97、l initiatives through real-time site monitoring and optimization solutions.Figure 4 Linkages in the minerals industry and the relationship between firms11 Level 3supplierLevel 2supplierLevel 1supplierLevel 1supplierLevel 1supplierBenefactorBenefactorLevel 2supplierProcessorEnd userEnd userEnd userEn

98、d userEnd userEnd userProcessorProcessorProcessorLevel 2supplierLevel 2supplierLevel 2supplierLevel 2supplierLevel 3supplierLevel 3supplierLevel 3supplierLevel 3supplierLevel 3supplierOther industrialsectorsUpstreamlinkagesMining operationDownstreamlinkagesInfrastructureR&D and skillsFinancial servi

99、cesCommunicationsSidestream linkagesDirect impactIndirect impactSource:Lydall(2009)16|DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS External Document 2022 Infosys LimitedTrend 8 Miners turn to smart inventory management and logistics for supply chain optimizationCapabilities l

100、ike inventory management and logistics are essential for asset-intensive industries such as metals and mining.The same has sustainability imperatives in addition to the core operational performance.To optimize inventory and logistics,a company needs to deal with several variables.Therefore,process a

101、nd resource companies are partnering with tech and shipping companies to explore even quantum computing solutions that can factor many variables and provide the most optimal routing solutions.However,the technology is still in its infancy and there is much to be explored.In the present day,miners ar

102、e leveraging IoT-based telematics tracking technology to implement smart inventory and logistics management.In their journey toward digital transformation,it is crucial for miners to implement new technologies collaboratively with reliable partners and trustworthy vendors.A leading miner partnered w

103、ith Infosys to develop a custom telematics tracking solution to maximize fleet utilization.With features such as near real-time visibility into performance indicators and asset-specific analytics,the solution helped the mining company improve fleet safety,reduce fuel consumption,and rationalize main

104、tenance costs.Another major mining company,in association with Infosys,built a sophisticated logistic track and trace solution.This solution has features such as data integration,route planning,and shipping scheduling,along with rich visualization and customization flexibility to work with real-time

105、 logistics data.DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY CHAINS|17External Document 2022 Infosys LimitedReferences1.IMF sees higher inflation as supply chains and Omicron slow economic growth,Emma Charlton,Jan.25,2022,World Economic Forum2.Managing supply chain volatility throug

106、h recalibration,Kumar Kamlesh,Madhurya Dixit,Ramachandran S,Apr.2022,Infosys3.Ford shifts focus to built-to-order to mitigate semiconductor shortages effects,Max Garland,Aug.2,2021,Supply Chain Dive4.Establishing irrefutable provenance of agro commodities and improving transparency across agro suppl

107、y chain,2022,Case study,Infosys5.Intel CEO Bob Swan has said that the debut of the companys own 7nm manufacturing process has been delayed by a further 6 months due to yield issues,Peter Clarke,Jul.27,2020,eeNews Europe6.Low yield on Samsungs 4nm process node prompts Qualcomm to go with TSMC for fut

108、ure chips,Adrian Potoroaca,Feb.23,2022,Techspot7.TSMC 3nm Yield Problems May impact AMDs future CPU Roadmaps,Nivedita Bangari,Feb.24,2022,TechnoSports8.Taking the next leap forward in semiconductor yield improvement,Koen De Backer,RJ Huang,Mantana Lertchaitawee,et al.,May 2,2018,McKinsey9.How to imp

109、rove first-pass quality yield in manufacturing,Feb.2022,APQC10.Very launches stockless fulfilment model with adidas and Reebok,Tom Shearsmith,Oct.27,2021,The Industry.Fashion11.Mineral Resource Governance in the 21st Century,2020,UNEP18|DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUTURE SUPPLY C

110、HAINS External Document 2022 Infosys LimitedAdvisory CouncilContributorsShveta AroraSVP and Service Offering Head Domain Consulting GroupVenugopal GAVP and Senior Industry Principal Manufacturing Domain Consulting GroupAadithya KrishnanAvinash KumarChandrashekhar BalakrishnanDr.Indresh RathoreGaurav

111、 SinghJyoti GuptaKumar KamleshM ViswasubrahmanyamMadhurya DixitMukta SareenRama Krishna LakshminarayananSatish KumarSwapnil SirdeshmukhProducersJitesh GeraInfosys Knowledge IRamachandran SInfosys Knowledge IRamesh NInfosys Knowledge Instituteramesh_DIGITAL SUPPLY CHAIN POWERING THE SELF-CURATING FUT

112、URE SUPPLY CHAINS|19External Document 2022 Infosys LimitedAbout Infosys Knowledge InstituteThe Infosys Knowledge Institute helps industry leaders develop a deeper understanding of business and technology trends through compelling thought leadership.Our researchers and subject matter experts provide

113、a fact base that aids decision-making on critical business and technology issues.To view our research,visit Infosys Knowledge Institute at or email us at .2022 Infosys Limited,Bengaluru,India.All Rights Reserved.Infosys believes the information in this document is accurate as of its publication date

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