Automotive Industrial Supply Chain Performance Evaluation under Uncertain Constraints on Cloud Computing System

Abstract

Performance evaluation is a critical and complex task as well as uncertain demands for automotive supply chain. Several methods are applied and adopted to deal with current situations and maintain competitiveness such as fuzzy logic, neuro fuzzy, agent (multi) based evaluation, etc. However, such systems are not rapid enough to respond customer requirements by real-time on mobile cloud computing system. There are many companies that operate under the first tier company as subcontractors on the same goal. Cloud computing system is capable to monitor real-time production processes for every subcontractor to assist the 1st tier to make decision and respond customer effectively. Daily monitoring data of all subcontractors in the supply chain are stored in the central database and finally the performance evaluation can be done. The implication is cost reduction of the whole supply chain and increase competitiveness as well as continuous process improvement for all.

Industry 4.0: The Tenets of the Next Generation of Supply Chain Management

“…The use of trucks and drones to deliver goods in secluded and urban areas across the globe showed efficiency in developing countries [10]. Industry 4.0 enabled real-time vendor and subcontractors monitoring to manage rapid change and inventory [11] and reduce supply-demand misalignment [5]. Evidence suggests 4IR technologies or Industry 4.0 enhance visibility, interoperability, modularity, decentralization, virtualization, and service orientation [12].…”

“…By addressing the barriers and implementing the drivers to Industry 4.0, the global supply industry would benefit of the 4IR [11]. In the interim, the adoption of Industry 4.0 necessitates investment.…”

“…For instance, a small firm could subcontract its operations or services to large and specialized corporations. Businesses source several activities to lower operating costs, increase market access, enhance scalability, and diminish risks [11,13].…”

“…Businesses and governments could use crowdsourcing technology to reinforce manufacturing standards. Many firms also offer to monitor and track production processes to support the supply industry, enhancing the efficacy of production control and decision making [11]. Comparatively, researchers from the Boston University School of Medicine applied big data analytics to realize early exposure to unsafe food products [14].…”