Supply Chain Efficiency and Effectiveness Management Using Decision Support Systems

Supply Chain Efficiency and Effectiveness Management Using Decision Support Systems

Guozheng Li
DOI: 10.4018/IJISSCM.305847
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Abstract

The management of global supply chains that emerge from outsourcing and offshoring activities emphasizes a globally dispersed supply chain. All stakeholders and entrepreneurs worldwide have a common understanding of information technology's importance to support business activity in a rapidly changing era of customer preference. Today, many believe in a production process transition, which subsequently affects the supply chain flow in general, fearing overuse and inefficiency from upstream to downstream. Thus, this article proposes supply chain efficiency and effectiveness management using decision support systems (SCE2M-DSS). This conceptual framework uses an intelligent decision support system for the supply chain's proactive capacity planning under uncertain conditions. An intelligent decision-making support system is designed with reinforcement learning (RL) to validate the conceptual framework. The application of decision-making methods developed initially focused on product development and service production.
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Introduction To Decision Support System In Supply Chain Management

At present, supply chain management is increased with a massive awareness among all the stakeholders, entrepreneurs and consumers (Dellino et al, 2018). Specifically, consumers change their preference and the change in information technology development in business strategies (Centobelli et al, 2018). The increase in process and operations behind the production stages affects supply chain management's usual steps and procedures (Govindan et al, 2020). It majorly results in modified decisions over the flow of the working process (Bai et al, 2019).

The change in such supply chain flow affects the outcome efficiency and effectiveness of the formal procedures (Mosteanu et al, 2020), which in turn collapses the decision-making process of the supply chain management system (Kukar et al, 2019). There is a keen focus on regular and continuous practice in the area of supply chain management and its corresponding decisions (Banasik et al, 2018). Many researchers started focusing on identifying issues in gathering, validating (Abdel-Basset et al,2018), and arranging the basic procurements in the mass production of a supply chain (Nunes et al,2020). The policy-making strategies in the same supply chain management are one of the vital decision-making systems (Aversa et al, 2018). It has mainly examined later, particularly in the upstream and downstream issues related to overuse, which is the primary cause of inefficiency (Yazdani et al, 2019). The efficiency of the supply chain is an indication of how the processes of a company best harness resources, whether or not they are financial, human, technological or physical. This definition of efficiency is silent here about customer service improvement. The production planning in the decision-making policy of a supply chain management should have proper environmental planning (Stein et al, 2018) and manufacturing capability according to the recycling (Basheer et al, 2019) and remanufacturing effect for useful reuse properties (Nimeh et al, 2018). The inter and intra organizational conditions and norms affect the decision-making process of supply chain production planning (Cousins et al, 2019). These conditions moderately affect the sustainability of production and planning properties in the decision-making part of supply chain management (Wu et al, 2018). The supply chain management is the process of the goods and services flow and covers all processes which convert raw substances into final products. In relation to the equity of the customers and to gain a competitive advantage on the market, it involves actively simplifying supply-side activities.

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