scholarly journals An Unsupervised Machine Learning-Based Framework for Transferring Local Factories into Supply Chain Networks

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3114
Author(s):  
Mohd Fahmi Bin Mad Ali ◽  
Mohd Khairol Anuar Bin Mohd Ariffin ◽  
Faizal Bin Mustapha ◽  
Eris Elianddy Bin Supeni
Keyword(s):  
Machine Learning ◽  
Supply Chain ◽  
Manufacturing Systems ◽  
Supply Chain Network ◽  
Kuala Lumpur ◽  
Manufacturing Firm ◽  
Supply Chain Networks ◽  
The North ◽  
Local Manufacturing ◽  
The Right

Transferring a local manufacturing company to a national-wide supply chain network with wholesalers and retailers is a significant problem in manufacturing systems. In this research, a hybrid PCA-K-means is used to transfer a local chocolate manufacturing firm near Kuala Lumpur into a national-wide supply chain. For this purpose, the appropriate locations of the wholesaler’s center points were found according to the geographical and population features of the markets in Malaysia. To this end, four wholesalers on the left island of Malaysia are recognized, which were located in the north area, right area, middle area, and south area. Similarly, two wholesalers were identified on the right island, which were in Sarawak and WP Labuan. In order to evaluate the performance of the proposed method, its outcomes are compared with other unsupervised-learning methods such as the WARD and CLINK methods. The outcomes indicated that K-means could successfully determine the best locations for the wholesalers in the supply chain network with a higher score (0.812).

scholarly journals A Privacy Preserving Approach to Collaborative Systemic Risk Identification: The Use-Case of Supply Chain Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-18
Author(s):  
Tirazheh Zare-Garizy ◽  
Gilbert Fridgen ◽  
Lars Wederhake
Keyword(s):  
Supply Chain ◽  
Structural Information ◽  
Risk Identification ◽  
Use Case ◽  
Supply Chain Network ◽  
Strategic Positioning ◽  
Supply Chain Networks ◽  
Structural Risk ◽  
Main Factors ◽  
Network Risk

Globalization and outsourcing are two main factors which are leading to higher complexity of supply chain networks. Due to the strategic importance of having a sustainable network, it is necessary to have an enhanced supply chain network risk management. In a supply chain network many firms depend directly or indirectly on a specific supplier. In this regard, unknown risks of network’s structure can endanger the whole supply chain network’s robustness. In spite of the importance of risk identification of supply chain network, firms are not willing to exchange the structural information of their network. Firms are concerned about risking their strategic positioning or established connections in the network. The paper proposes to combine secure multiparty computation cryptography methods with risk identification algorithms from social network analysis to address this challenge. The combination enables structural risk identification of supply chain networks without endangering firms’ competitive advantage.

scholarly journals Mathematical modeling for optimizing the blood supply chain network

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amir Rahimzadeh Dehaghani ◽  
Muhammad Nawaz ◽  
Rohullah Sultanie ◽  
Tawiah Kwatekwei Quartey-Papafio
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Supply Chain Network ◽  
Distribution Centers ◽  
Nsga Ii ◽  
Content Type ◽  
Supply Chain Networks ◽  
Multi Objective ◽  
Blood Supply Chain ◽  
The Cost

PurposeThis research studies a location-allocation problem considering the m/m/m/k queue model in the blood supply chain network. This supply chain includes three levels of suppliers or donors, main blood centers (laboratories for separation, storage and distribution centers) and demand centers (hospitals and private clinics). Moreover, the proposed model is a multi-objective model including minimizing the total cost of the blood supply chain (the cost of unmet demand and inventory spoilage, the cost of transport between collection centers and the main centers of blood), minimizing the waiting time of donors in blood donating mobile centers, and minimizing the establishment of mobile centers in potential places.Design/methodology/approachSince the problem is multi-objective and NP-Hard, the heuristic algorithm NSGA-II is proposed for Pareto solutions and then the estimation of the parameters of the algorithm is described using the design of experiments. According to the review of the previous research, there are a few pieces of research in the blood supply chain in the field of design queue models and there were few works that tried to use these concepts for designing the blood supply chain networks. Also, in former research, the uncertainty in the number of donors, and also the importance of blood donors has not been considered.FindingsA novel mathematical model guided by the theory of linear programming has been proposed that can help health-care administrators in optimizing the blood supply chain networks.Originality/valueBy building upon solid literature and theory, the current study proposes a novel model for improving the supply chain of blood.

Evolutionary Game Model of Information Sharing Behavior in Supply Chain Network With Agent-Based Simulation

2019 ◽  
Vol 15 (2) ◽  
pp. 54-68 ◽  
Author(s):  
Jian Tan ◽  
Guoqiang Jiang ◽  
Zuogong Wang
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Evolutionary Game ◽  
Supply Chain Network ◽  
Agent Based Simulation ◽  
Control Cost ◽  
Agent Based ◽  
Supply Chain Networks ◽  
Network Information ◽  
Sharing Behavior

In the supply chain network, information sharing between enterprises can produce synergistic effect and improve the benefits. In this article, evolutionary game theory is used to analyse the evolution process of the information sharing behaviour between supply chain network enterprises with different penalties and information sharing risk costs. Analysis and agent-based simulation results show that when the amount of information between enterprises in supply chain networks is very large, it is difficult to form a sharing of cooperation; increase penalties, control cost sharing risk can increase the probability of supply chain information sharing network and shorten the time for information sharing.

Use Of Genetic Algorithms in Supply Chain Management. Literature Review and Current Trends

2013 ◽  
Vol 27 (1) ◽  
pp. 0-0
Author(s):  
Piotr Stawiński
Keyword(s):  
Supply Chain ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Design Problems ◽  
Research And Practice ◽  
Supply Chain Networks ◽  
The Past ◽  
Current Trends ◽  
Management Literature ◽  
The Subject

For the past few decades SCM has been one of the main objectives in research and practice. Since that time researchers have developed a lot of methods and procedures which optimized this process. To create an efficient supply chain network the resources and factories must be tightly integrated. The most supply chain network designs have multiple layers, members, periods, products, and comparative resources constraints exist between different layers. Supply chain networks design is related to the problems which are very popular in literature. The subject of this paper is to present the variants, configurations and parameters of genetic algorithm (GA) for solving supply chain network design problems. We focus on references from 2000 to 2011. Furthermore, current trends are introduced and discussed.

Co-Design of Supply Chain Network and Subassembly Planning Considering the Reconfiguration of Supply Chain Structure for Factory-in-a-Box Manufacturing

2018 ◽  
Author(s):  
Zhengqian Jiang ◽  
Hui Wang ◽  
Qi Tian ◽  
Weihong Guo
Keyword(s):  
Supply Chain ◽  
Manufacturing Systems ◽  
Chain Structure ◽  
Supply Chain Design ◽  
Supply Chain Network ◽  
Market Demand ◽  
Unique Challenge ◽  
Delivery Times ◽  
Production Site ◽  
Supply Chain Structure

As the market demand becomes more diversified and dynamic, the requirements for manufacturing systems feature a high degree of flexibility, low cost, low volume, and short delivery times. One emerging way for such flexible manufacturing is so-called “factory-in-a-box,” by which production modules are installed in a container and transported by a vehicle. The factory-in-a-box manufacturing poses a unique challenge to manufacturing supply chain network since the ease of supply chain reconfiguration when the vehicle moves to a different production site has become a major concern in addition to transportation cost and delivery time. The supply chain design is further complicated by the fact that it is coupled with subassembly planning in manufacturing, which determines appropriate subassembly modules assigned to suppliers. As such, it is critical to understand the interaction between supply chain network reconfigurability and subassembly planning. This paper develops a model using a set of decision variables to jointly characterize the topology of supply chain network and subassembly planning. A binary nonlinear programming model has been developed for the concurrent optimization of subassembly planning and supply chain network with the consideration of reconfiguration of the supply chain structure. One numerical case study was conducted to demonstrate the proposed model by providing a quantitative guideline of reconfiguring supply chain network when the final production site (on a vehicle) changes locations.

An incentive mechanism-based negotiation model for green supply chain networks

2020 ◽  
pp. 014233122092981
Author(s):  
Fang Yu ◽  
Chun Zhang ◽  
Yongsheng Yang
Keyword(s):  
Carbon Dioxide ◽  
Supply Chain ◽  
Carbon Dioxide Emissions ◽  
Green Supply Chain ◽  
Supply Chain Network ◽  
Supply Chain Networks ◽  
Environmental Attributes ◽  
Proposed Model ◽  
Total Profit ◽  
Negotiation Mechanism

This research aims to prompt agents to improve their strategies initiatively in order to decrease carbon dioxide emissions and enhance green factors during production and consumption processes. An incentive negotiation mechanism is proposed for agents in supply chains to improve their strategies. Multiple items, multiple attributes, and multiple echelons are involved in the proposed model. In addition, this research takes both the commerce and the environmental attributes into account. The environmental attributes were transformed into rewards or penalty by setting reward factors or penalty factors, and were taken into account during the calculation of the profits. The simulation results show that the proposed model was feasible to solve the complex negotiation problems, and had a good performance. The green factors of agents in the green supply chain network are increased when the agents have low initial green factors. Moreover, the proposed model can effectively reduce the carbon dioxide emissions as well. The proposed model can be seen as a “win–win” solution from the perspective of both business and environmental protection. The total profit of the green supply chain network is improved, and the harm to the environment is decreased as well.

Achieving a competitive supply chain network for a manufacturer

2015 ◽  
Vol 26 (5) ◽  
pp. 744-762 ◽  
Author(s):  
Yan Jin ◽  
Paulette Edmunds
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
Conceptual Model ◽  
Supply Chain Network ◽  
Research Model ◽  
Competitive Performance ◽  
Network Resources ◽  
Manufacturing Firm ◽  
Resource Based View ◽  
Content Type

Purpose – Collaboration in supply chain networks (SCN) becomes extremely important for manufacturers seeking a sustainable competitive advantage. Such competitiveness depends on the SCN resources a manufacturing firm can allocate, the capabilities to identify and deploy these network resources effectively, and practices and applications the firm arranges for these resources. The purpose of this paper is to develop a conceptual framework that investigates the relationships between these network constructs and their influences on firm performance. Design/methodology/approach – An extensive literature review of supply chain management was conducted to explicate why some manufacturers outperform others. A resource-based view, dynamic capability theory, and extended resource-based view were employed to develop a conceptual model that investigates relationships between the resources, capabilities, and practices of a SCN. The relationships were then examined to analyze their influences on firm performance. Several cases and practical examples were included in the study to give a better understanding of the conceptual research model. Various keywords were used in searching literature for the constructs of the research model. For example, “knowledge” and “supply chain network” were used to search the literature regarding the SCN intangible resources. Findings – This study uses a conceptual model to identify SCN resources that are dispersed in the internal territory among different network members, SCN capabilities that are developed based on these network resources and lead to the firm’s competitive performance, and SCN practices used to acquire network resources and build network capabilities. Research limitations/implications – The conceptual model of SCN resources, capabilities, and practices needs further empirical validation. Practical implications – The conceptual model provides a framework for managers to identify the critical resources, capabilities, and practices of a SCN that help a firm achieve sustainable competitive performance. Originality/value – This research builds a comprehensive picture of relationships between a manufacturing firm’s strategic resources, capabilities, and practices in a SCN. It also provides a theoretical foundation for future research on developing instruments for resources, practices, and capabilities of a SCN and empirically testing the relationships among the appropriate constructs.

scholarly journals Rewiring Strategy Based on Directed Betweenness to Mitigate Disruptions of Large-Scale Supply Chain Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Hui Xia
Keyword(s):  
Supply Chain ◽  
Empirical Data ◽  
Large Scale ◽  
Network Connectivity ◽  
The Other ◽  
Network Robustness ◽  
Data Driven ◽  
Supply Chain Network ◽  
Supply Chain Networks ◽  
The Impact

In current large-scale supply chain networks, unexpected disruptions degrade the supply availability and network connectivity for modern enterprises. How to improve the robustness of supply chain networks is very important for modern enterprises. In this paper, we explore how to improve the robustness of supply chain networks from a topological perspective. Firstly, through the empirical data-driven study, we show that the directed betweenness metric is more suitable than the other topological metrics in evaluating the robustness of supply chain networks. Then, we propose a rewiring algorithm based on directed betweenness to improve network robustness under the impact of disruptions. The experimental results in the large-scale supply chain network show that the rewiring algorithm based on directed betweenness effectively improves the network robustness.

scholarly journals Integrating Resilience and Sustainability Criteria in the Supply Chain Network Design. A Systematic Literature Review

2021 ◽  
Vol 13 (19) ◽  
pp. 10925
Author(s):  
Luis Francisco López-Castro ◽  
Elyn L. Solano-Charris
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Future Research ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Economic Dimension ◽  
The Sustainable Development ◽  
Supply Chain Networks ◽  
Sustainability Criteria ◽  
Development Goals

Nowadays, Supply Chain Networks (SCNs) must respond to economic, environmental, social, and uncertain considerations. Thus, sustainable and resilience criteria need to be incorporated as key criteria into the Supply Chain Network Design (SCND). This paper, as part of an emerging subject, reviews the literature between 2010 and 2021 that integrates sustainability and resilience on the SCND. The article classifies the literature according to the levels of the SCND, levels of the decision-making (i.e., strategic, tactical, and operational), resilience and sustainability criteria, solving approach, objective criteria, contributions to the Sustainable Development Goals (SDGs), and real-world applications. The main findings allow us to conclude that the decisions regarding the supply chain network design with sustainability and resilience criteria are mainly strategic, focusing on the forward flow. Most works address resilience through the evaluation of scenarios (risk assessment perspective), and in terms of the sustainability perspective, authors mainly focus on the economic dimension through the evaluation of income and costs along the chain. Based on the review and the proposed taxonomy, the paper proposes ideas for future research.

scholarly journals Trusted Supply Chains: Surveying Competitive Value Of The Cloud

2015 ◽  
Vol 19 (1) ◽  
pp. 43
Author(s):  
Rajni Goel
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Supply Chain Network ◽  
Cloud Environment ◽  
Strategic Integration ◽  
Supply Chain Networks ◽  
Innovation Potential ◽  
Cloud Computing Service ◽  
Computing Platforms ◽  
Shared Computing

Cloud computing has become a force multiplier for organizations as they realize the benefit from the shared computing platforms and services offered by cloud computing. Providers market shared computing platforms and services because of their convenience, dynamism, elasticity, and scalability to meet the growing demands of organizations, specifically in widespread supply chain networks. Yet, the issuance of trust has become a concern in the cloud web as cloud computing service technologies advance faster than measures to secure it. This research presents a framework to determine which specific supply chain functions can derive the most value from cloud capabilities and to understand how to leverage these technologies strategically to develop a competitive advantage. It proposes a strategic integration of cloud functionalities to create profitable supply chain network partnerships and to improve the processes, quality and innovation potential in the overall Supply Chain Management (SCM), while maintaining a trusted cloud environment.

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