Supplier Selection Fuzzy Model in Supply Chain Management:Vietnamese Cafe Industry Case

Supplier selection is a vital part of the supply chain and is also a current issue that concerns businesses today as supplier quality directly affects the operations of the organization.Choosing the right supplier can help businesses increase productivity,competitiveness in the market,and profits without having to lower the quality of the products.However,choosing a supplier is not a simple matter,it requires businesses to consider many aspects about their suppliers.Therefore,the goal of this study is to propose an integrated model consisting of two models:Fuzzy Analytics Network Process(Fuzzy-ANP)model and Weighted Aggregated Sum Product Assessment(WASPAS)to solve the problem above.The Fuzzy-ANP model was developed to evaluate the weightings of the supplier selection criteria,and the WASPAS Model was used to rank the suppliers.An example of supplier selection in the coffee industry in Vietnam was studied to validate the model,namely 5 main criteria,with 16 sub-criteria,and 7 suppliers.The model test results show that the Fuzzy ANP and WASPAS integration model was suitable.In future,these developing models can apply to other industries or integrate with other models.

Issues on Supply Chain Management

Although supply chain is regarded as an integrated pr ocess, actually, researchers and practitioners have primarily investigated the v arious processes of the supply chain individually. The competitive field in most markets requires well-designed integrated supply chain instead of individual o perations. In this paper, some traditional thinking of supply chain is given fir st, then SCM (Supply Chain Management) is introduced, which views the entire sup ply chain as a whole rather than individual process and aims to increase transpa rency and alignment of the supply chain’s coordination and configuration, regar dless of functional or corporate boundaries. Secondly, issues regarding the significance and the situation of supply chain management in enterprises of Chin a are briefly described. In china, most enterprises haven’t established the ide a of supply chain management, supply chain are just focused on the step from sup pliers to manufacturers, which is a partial but not whole supply chain. Challeng ed by intense competition in the global market, further research on supply chain management is badly needed in China, if not, traditional pattern must be overwh elmed by world competition. Finally, suggestions for future research, especial ly the required conditions for a successful adoption of supply chain managemen t, are outlined. Organizations with Supply chain management can realize the advantages of backward vertical integration. However the following issues must b e paid attention to before supply chain management pattern is established.(1) Ch anging the corporate cultures of all members in the value chain to make it condu cive to supply chain management.(2) Developing long-term, cooperative and certi fied relationship with key suppliers.(3) Developing supply chain management soft ware that includes a completely integrated information system based on distr ibuted database throughout supply chain.(4) Reconstructing organization structur e adapting to supply chain management pattern.(5) Developing evaluation system f or performance measures of supply chain. In a word, supply chain management patt ern is necessary for domestic enterprises to win in intense world competition, w hile developing fitting pattern with key prerequisites is the most important.

Collaborative Supply Chain Management: A Critical Redesigning Factor

In improving the competitiveness of business organi sa tion in the 21st century, minimising cost and increasing productivity are no lon ger factors that could promise the success. The changes in customer trends whic h focusing more on product or service customising, high quality and short delive ry times are additional crucial factors that organisation should be aware of. T hese factors have direct relations on how the management could utilise the capab ility of its supply chain management (SCM). The importance of SCM in organisati on specifically to manufacturer is to play a vital role in managing the flow of material and information along the chain from suppliers to customers. In a trad itional way, SCM is mainly manage by the production department in organisation b ut with the advancement in information technology, resulted the changes in worki ng environment. One of the ways that could be implemented in decision making p rocess in order to improve the effectiveness and efficiency of the decision is t hrough collaborative environment. Due to this situation, there is a need to rede sign the existing SCM in order to optimise its capability and functionality in t he way to ensure the organisation competitiveness is sustainable. A minor or ma jor alignment to SCM business processes should be done in order to streamline th e flow of information, which could also affect the flow of materials. Factors s uch as SCM operational, structural and even its managerial are among the issues that are critical in redesigning its business process. Each of these factors has its own attributes such as lead-times, complexity, frequency and organisationa l setting that could lead in improving organisational competitiveness. In additi on, by identifying these factors, it would help the management to plan and desig n the collaborative SCM that would effectively correspond to the changes in busi ness and customer trends. The intention of the paper is to promote a list of fa ctors and attributes, which are critical in redesigning an existing SCM in order to shift its environment to become collaborative SCM. By utilising these facto rs and attributes, a model for redesigning SCM into collaborative environment is currently developed by the author and will be used in the next stage of his res earch.

Systematic Methodology of Integrated Supply Chain Management

Supply chain management (SCM) is a strategy for global competition. The characteristics of SCM are integration, systematic and coordination. Using systematic, coordination thoughts and integration theory, a new model of enterprise integration based on supply chain management is put forward and an implementing paradigm for systematic methodology of supply chain management is developed.

The Impact of Electronic Supply Chain Management Usage on Firm’s Performance

This study investigates the status of e-SCM and performance among Jordanian manufacturing sector. The objective of this study is to analyze the impact of trust and communication on the e-SCM usage. Moreover, the study investigates the effect of the trust and communication on the firm’s performance while the e-SCM usage is used as a mediating factor on firm’s performance. The proposed research model was validated by distributing 250 survey questionnaires to the manufacturing sector in Jordan. Structural equation modelling (SEM) technique was used to analyze the results. One of the main limitations of this study was that the results could not be universal since the study was limited to Jordan. We discussed the implications of our results for research and practice.

Supply Chain Management System Model of Virtual Enterprises Based on Multi-Agent

Based on the analysis of a virtual enterprise and the development of supply chain management, their integration is proposed. Then, the difference between multi-agent system modeling method and the traditional modeling method is analyzed, and a method based on Java agent framework for multi-agent systems（ JAFMAS） is proposed. By using this method the virtual enterprise＇ s supply chain management system model is established.

Current State, Shortcomings, and Strategies to Improve China’s Waste Recycling Network: Optimization of Regional Site Selection for Waste Disposal Systems Based on Supply Chain Management

Based on the basic supply chain model,the status quo of waste recycling in China is examined by analyzing and comparing the changes in the waste recycling network and the problems of siting in relation to China’s waste disposal system.

Analyzing the Construction of the International Logistics Supply Chain Management Model from the Perspective of Cross-Border E-commerce

Cross-border e-commerce has progressively evolved with the deepening of economic globalization,and it now holds a significant place in the field of e-commerce.However,due to China’s late entry into the international logistics supply chain,there are issues such as complex environment,uneven information technology,and disagreements on standards,resulting in certain cross-border e-commerce disadvantages in China.Therefore,in this context,this study analyzes the construction of international logistics supply chain management model from the perspective of cross-border e-commerce,so as to provide some reference for the development of China’s international logistics supply chain.

Research on Risk Identification of Supply Chain Management in Pharmaceutical Wholesale Enterprises——Taking Enterprise A as an Example

Objective To study the current situation of supply chain management in pharmaceutical wholesale enterprises so that supply chain risks can be identified effectively.Methods Through the analysis of the actual situation of enterprise A,combining with the supply chain problem of the enterprise,the enterprise supply chain risks were found out.Results and Conclusion With the development of pharmaceutical circulation industry,the competition among drug wholesalers has become increasingly fierce.For enterprises,the supply chain risks are increasing,and the traditional upstream and downstream supply risks are transformed into multiple-dimensional risks.The goal of carrying out supply chain risk identification in pharmaceutical wholesale enterprises is to enable key enterprises to discover and understand different types of risks in time so as to improve the management of supply chain.

A Proposed Feature Selection Particle Swarm Optimization Adaptation for Intelligent Logistics--A Supply Chain Backlog Elimination Framework

The diversity of data sources resulted in seeking effective manipulation and dissemination.The challenge that arises from the increasing dimensionality has a negative effect on the computation performance,efficiency,and stability of computing.One of the most successful optimization algorithms is Particle Swarm Optimization(PSO)which has proved its effectiveness in exploring the highest influencing features in the search space based on its fast convergence and the ability to utilize a small set of parameters in the search task.This research proposes an effective enhancement of PSO that tackles the challenge of randomness search which directly enhances PSO performance.On the other hand,this research proposes a generic intelligent framework for early prediction of orders delay and eliminate orders backlogs which could be considered as an efficient potential solution for raising the supply chain performance.The proposed adapted algorithm has been applied to a supply chain dataset which minimized the features set from twenty-one features to ten significant features.To confirm the proposed algorithm results,the updated data has been examined by eight of the well-known classification algorithms which reached a minimum accuracy percentage equal to 94.3%for random forest and a maximum of 99.0 for Naïve Bayes.Moreover,the proposed algorithm adaptation has been compared with other proposed adaptations of PSO from the literature over different datasets.The proposed PSO adaptation reached a higher accuracy compared with the literature ranging from 97.8 to 99.36 which also proved the advancement of the current research.

CoC： A Unified Distributed Ledger Based Supply Chain Management System

Modern supply chain is a complex system and plays an important role for different sectors under the globalization economic integration background. Supply chain management system is proposed to handle the increasing complexity and improve the efficiency of flows of goods. It is also useful to prevent potential frauds and guarantee trade compliance. Currently, most companies maintain their own IT systems for supply chain management. However, it is hard for these isolated systems to work together and provide a global view of the status of the highly distributed supply chain system. Using emerging decentralized ledger/bloekehain technology, which is a special type of distributed system in essence, to build supply chain management system is a promising direction to go. Decentralized ledger usually suffers from low performance and lack of capability to protect information stored on the ledger. To overcome these challenges, we propose CoC （supply chain on blockchain）, a novel supply chain management system based on a hybrid decentralized ledger with a novel two- step block construction mechanism. We also design an efficient storage scheme and information protection method that satisfy requirements of supply chain management. These techniques can also be applied to other decentralized ledger based applications with requirements similar to supply chain management.

A supply chain management in a single-vendor and a singlebuyer integrated inventory model with backorders under imperfect production system

Lead time is an essential factor in any supply chain and inventory management system.In stochastic inventory models,lead time is often viewed as a prescribed constant or a random variable that is not subject to control.In many practical situations,lead times can be controlled by paying additional investment.Using this viewpoint,notion of the crashing cost into stochastic inventory model,in which lead time can be controlled by additional investment.Many researchers have developed various analytical inventory models we have considered the piecewise linear function.So in this proposed model,we derive the mathematical model which is developed by incorporating three types of lead time crashing cost functions(i)exponential function,(ii)polynomial function and(iii)negative exponential function.An integrated inventory model is recognized to find the optimal solutions of order quantity,lead time,total cost for buyer,total cost for vendor and the total number of deliveries from the single-vendor to the single-buyer in one production run.A solution process is suggested for solving the proposed model and numerical examples to illustrate the feature of the proposed model,and examined the effect of the key parameters on the optimal solution and managerial implications are discussed.Numerical examples show that this model offers significant improvements over existing models.A computer code using the software Matlab is developed to derive the optimal solution.The main contribution of this paper is developing a mathematical model and an effective solution procedure to find the optimal solution.Finally,a graphical representation of the computational algorithm is represented by a flowchart in each model.

Greening the Supply Chain: Drivers and Outcomes in the Korean Manufacturing Industry

This research investigates the determinants of green supply chain management(GSCM)adoption and its impact on organizational performance,while considering the potential moderating factors influencing GSCM adoption.Despite the growing prevalence of GSCM practices among Korean firms,the factors driving their adoption have not received sufficient attention.To bridge this gap,the study uses structural equation modeling,integrating stakeholder theory and resource-based theory to explore how green entrepreneurial orientation(GEO),institutional pressure,and relational capital affect GSCM adoption.Additionally,the study explores the effects of GSCM implementation on competi­tiveness and economic performance.Drawing data from a sample of 213 Korean manufacturing firms,the PLS-SEM analysis highlights the significant influence of GEO,institutional pressure,and relational capital on GSCM adoption.Additionally,the study emphasizes the positive impact of GSCM implementation on firm competitiveness.These find­ings provide valuable insights for enhancing sustainability in supply chain management and are applicable to similar context countries such as Taiwan,China,Japan,and the Netherlands.

Time Lag Effect of Supply Chain Management on Firm Performance

The objective of this paper is to identify time lag effect in the relationship between supply chain management and financial performance.We hypothesize that firms with higher supply chain management capability are associated with higher financial performance and the impact would last longer.In addition,we introduce two contextual variables,ownership and market orientation,to detect the moderating effect of ownership structure and organizational culture,respectively.We use firm-level empirical data from 1,131 public Chinese manufacturing firms for the 2010–2019 period to investigate the effect and the result shows that there is a two-year time lag effect in the relationship,which means the positive impact of current supply chain management would last for three years.Furthermore,we find evidence that supply chain management in non-state-owned firms is more efficient and its positive financial impact would last longer than that in state-owned enterprises.Finally,we indicate that market-orientation can’t moderate the relationship between supply chain management and financial performance.

Supply Chain Coordination with Demand Disruptions under Convex Production Cost Function

This paper investigates the problem of how to handling demand disruptions ina one-supplier-one-retailer supply chain, where production cost is a convex function of productionquantity andprice-demand relationship is linear. Our results show that, ifdemand is disrupted, underthe new price-demand relationship, all-unit wholesale quantity discount policies combiningcapacitated linear pricingpolicies can also fully coordinate the supply chain.

Revenue-sharing contract to coordinate independent participants within the supply chain

To improve the performance of the supply chain with one supplier and multiple retailers under deterministic price-sensitive customer demand, an optimal strategy is proposed based on knowledge discovery. First the decentralized system in which the supplier and the retailers are independent, profit-maximizing participants with the supplier acting as a Stackelberg game leader is studied. Numerical examples illustrate the importance of the coordination. The conventional quantity discount mechanism needs to be modified to coordinate the supply chain, so a revenue-sharing contract is proposed to coordinate such supply chain. Lastly, a special decision under certain demand rates is studied. The pricing and replenishment policies can be decided sequentially, which yields much less loss comparing with optimal decision when the demand rates are sufficiently large.

Collaborative supply chain planning under dynamic lot sizing costs with capacity decision

Studies show that supply chain cooperation improves supply chain performance. However, it remains a challenge to develop and implement the realistic supply chain cooperation scheme. We investigate a two-echelon supply chain planning problem with capacity acquisition decision under asymmetric cost and demand information. A simple negotiation-based coordination mechanism is developed to synchronize production/order strategies of a supplier and a buyer. The coordination scheme shows how the supplier and the buyer modify their production and order policy in order to find a joint economic lot sizing plan, which saves the overall supply chain cost. The allocation of the cooperation benefit is determined by negotiation. Due to the complexity of the multiple periods, multiple level supply chain lot sizing with capacity decision, a heuristic algorithm is developed to find coordination solutions. Finally, the results of the numerical study indicate the performance of supply chain coordination scheme.

A Multi-Agent System Using JADE for Simulation of Supply Chains

This paper proposes a prototype system for modeling and simulation of supply chains using a widely accepted agent platform Java agent development platform (JADE). A simple but practical coordination mechanism agent-based dynamic information network for supply chains (ADINS) is employed for the illustration of the suggested system and a simulation experiment is performed using a supply chain model of a Korean LCD manufacturing company. The result shows that the suggested mechanism is successful in reducing bullwhip effects and increasing service rates.

Interaction between supply chain risk and organizational performance

To offer a theoretic guidance to practice, on the basis of the work in an emerging strand of supply chain management and by matching the constructs of performance and risk together, a framework between supply chain risk management and organizational performance is developed. The framework includes a series of mutually associated processes as follows: risk sources and profiles, risk and performance drives, risk and performance consequences, risk management responses, and risk and performance outcomes. Furthermore, every process is elaborated on in detail. Thereinto, organizational performance consists of efficiency and effectiveness which is linked to risk drivers and risk management responses. Finally, some necessary discussions and supplements are put forward from a practical point of view. This study is to some extent expected to be conducive to the theories and the practice of supply chain management for contemporary enterprises.