scholarly journals Warehouse location problem in supply chain designing: a simulation analysis

2019 ◽  
Vol 50 (2) ◽  
pp. 101-110
Author(s):  
Emilian Szczepański ◽  
Roland Jachimowski ◽  
Mariusz Izdebski ◽  
Ilona Jacyna-Gołda
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Input Data ◽  
Location Problem ◽  
Mathematical Formulation ◽  
Erlang Distribution ◽  
Model Parameters ◽  
Logistics System ◽  
Warehouse Location

The facility location problem is a popular issue in the literature. The current development of world economies and globalization of the market requires continuous improvement of methods and research in this field. The location of the object determines the time of transport, affects the operational costs of the supply chain, and determines the possible amount of inventory or minimum inventory levels. These are critical issues from the point of view of designing an effective logistics system. The degree of complexity of current decision-making problems requires the construction of mathematical models and support for the decision-maker by optimization and simulation methods. A comprehensive and systemic approach to the problem allows the effective planning of supply chains. The purpose of this article was to study the sensitivity of the warehouse location problem in the supply chain. The solution was obtained based on the methodology developed under the SIMMAG3D project. The article presents the characteristics of the issue of the location of warehouse objects, the mathematical formulation of the solved problem of location and the method of its solution based on the heuristic algorithm using the modification of the Busacker-Gowen method. Then, a supply chain simulation model was developed in the FLEXSIM environment and scenario studies were performed for various input data and model parameters. The analysis and assessment of the solution based on parameters such as utilization of the potential of warehouse objects object were presented. Random change in demand described by Erlang distribution and normal distribution was considered. The analysis showed how the selection of a statistical distribution to describe the input data can affect the shape of the logistics system. The article ends with a summary of considerations and a plan for further research in the use of the simulation environment to support the decision-making process of the location of storage facilities and the functioning of supply chains.

Post COVID-19 Potentials and Innovation: The Future Supply Chain

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1054-1057
Author(s):  
Bindu Swetha Pasuluri ◽  
Anuradha S G ◽  
Manga J ◽  
Deepak Karanam
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
World Health Organization ◽  
World Wide ◽  
World Health ◽  
Future Supply ◽  
Entire World ◽  
Health Organization

An unanticipated outburst of pneumonia of inexperienced in Wuhan, , China stated in December 2019. World health organization has recognized pathogen and termed it COVID-19. COVID-19 turned out to be a severe urgency in the entire world. The influence of this viral syndrome is now an intensifying concern. Covid-19 has changed our mutual calculus of ambiguity. It is more world-wide in possibility, more deeply , and much more difficult than any catastrophe that countries and organizations have ever faced. The next normal requires challenging ambiguity head-on and building it into decision-making. It is examined that every entity involved in running supply chains would require through major as employee, product, facility protocols, and transport would have to be in place. It is an urgent need of structuring to apply the lessons well-read for our supply chain setup. With higher managers now being aware of the intrinsic hazards in their supply chain, key and suggestions-recommendations will help to guide leader to commit to a newly planned, more consistent supply chain setup. Besides, the employees’ mental health is also a great concern.

scholarly journals Supply Chain Management Open Innovation: Virtual Integration in the Network Logistics System

2021 ◽  
Vol 7 (1) ◽  
pp. 54
Author(s):  
Vladimir Shcherbakov ◽  
Galina Silkina
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
System Integration ◽  
Business Models ◽  
Industrial Revolution ◽  
Linear Models ◽  
Logistics System ◽  
Chain Management ◽  
Economic Relations

The customer-oriented approach is actively developing within the global trend of the modern industrial revolution that is Industry 4.0. The focus on customer interests has led to cooperation and integration in supply chains, improving their efficiency and increasing transparency, awareness, and trust. However, an issue emerging in this scenario is that conventional supply chain management (SCM) procedures are unable to identify the potential proposal for a particular user. Modern businesses need to build integrated supply chains, which require well-developed infrastructure and easily available complementary services, relying on logistics as a networking technology. Supply chains of this generation grow from traditional individual desynchronized economic relations (linear models with some feedback and the simplest network configurations) to scalable, adaptable, harmonized partner networks. The logistics potential allows additional income by reducing the total costs of participants in the network, thus increasing the competitiveness of companies; this can be implemented based on new models of interaction in the current digital environment through, firstly, system integration. Our goal consists of identifying the essential characteristics of system integration and substantiating the methods for its implementation in the digital economy. The study is based on the analysis of global best practices, considering the reports from leading consulting companies and competent analytical agencies. We have confirmed that the role of a virtual system integrator of supply chains belongs to logistics platforms; the effects of a transition to platform business models are discussed in detail.

Information Fake in Supply Chains

2011 ◽  
Vol 267 ◽  
pp. 958-962
Author(s):  
Jiang Hong
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Information Management ◽  
Stable Distribution ◽  
Risk Attitude ◽  
Risk Averse ◽  
Stable States ◽  
Stochastically Stable

In this paper, we set risk attitude into decision making research for the supply chain manage. We focus on the information management. We discuss the stable states and the stochastically stable distribution for the fake game in the supply chain. We find there always exist information fake behaviors of low-yield suppliers. And, the less risk averse suppliers are, the more information fake they use.

scholarly journals A Strategic Location Decision-Making Approach for Multi-Tier Supply Chain Sustainability

2020 ◽  
Vol 12 (20) ◽  
pp. 8340
Author(s):  
Petchprakai Sirilertsuwan ◽  
Sébastien Thomassey ◽  
Xianyi Zeng
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Low Cost ◽  
Location Decisions ◽  
Activity Based Costing ◽  
Bottom Line ◽  
Clean Manufacturing ◽  
Potential Risks

Few studies on supply location decisions focus on enhancing triple bottom line (TBL) sustainability in supply chains; they rarely employ objective quantifiable measurements which help ensure consistent and transparent decisions or reveal relationships between business and environmental trade-off criteria. Therefore, we propose a decision-making approach for objectively selecting multi-tier supply locations based on cost and carbon dioxide equivalents (CO2e) from manufacturing, logistics, and sustainability-assurance activities, including certificate implementation, sample-checking, living wage and social security payments, and factory visits. Existing studies and practices, logic models, activity-based costing, and feedback from an application and experts help develop the approach. The approach helps users in location decisions and long-term supply chain planning by revealing relationships among factors, TBL sustainability, and potential risks. This approach also helps users evaluate whether supplier prices are too low to create environmental and social compliance. Its application demonstrates potential and flexibility in revealing both lowest- and optimized-cost and CO2e supply chains, under various contexts and constraints, for different markets. Very low cost/CO2e supply chains have proximity between supply chain stages and clean manufacturing energy. Considering sustainability-assurance activities differentiates our approach from existing studies, as the activities significantly impact supply chain cost and CO2e in low manufacturing unit scenarios.

Application of a new multi criteria decision making method for warehouse location problem

2016 ◽  
Vol 7 (3) ◽  
pp. 255
Author(s):  
Azam Aghighi ◽  
Mohammad Najjartabar Bisheh ◽  
Ali Ala ◽  
Behzad Aslani Avilaq ◽  
Safoora Dehghani
Keyword(s):  
Decision Making ◽  
Location Problem ◽  
Multi Criteria Decision Making ◽  
Warehouse Location

scholarly journals Warranty Period Decision and Coordination in Closed-Loop Supply Chains Considering Remanufacturing and Consumer Behavior

2019 ◽  
Vol 11 (15) ◽  
pp. 4237 ◽  
Author(s):  
Xiaodong Zhu ◽  
Lingfei Yu ◽  
Wei Li
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Closed Loop ◽  
Supply Chain System ◽  
Closed Loop Supply Chain ◽  
Chain System ◽  
Warranty Period ◽  
Closed Loop Supply Chains ◽  
Decision Making Model

The closed-loop supply chain management model is an effective way to promote sustainable economic development and environmental protection. Increasing the sales volume of remanufactured products to stimulate green growth is a key issue in the development of closed-loop supply chains. By designing an effective warranty strategy, customer’s perceived value can be enhanced and market demand can be stimulated. This study cuts through the warranty period of closed-loop supply chain products. Based on the perspective of consumer behavior, game theory is used to construct the optimal decision-making model for closed-loop supply chains. The optimal warranty decision making for new products and remanufactured products under centralized and decentralized decision-making models is discussed. Further, the impact of the closed-loop supply chain system with warranty services and the design of contract coordination is also shown. We show that consumer preference has a positive impact on the sales of remanufactured products and the profits of enterprises; with the extension of the new product and remanufacturing warranty period, the profit of the supply chain system first increases and then decreases, and the value is maximized at the extreme point in the manufacturer-led decision-making model. Furthermore, the leader gains higher profits with bargaining power, but the profit of the supply chain system under decentralized decision model is less than that of the centralized decision model, reflecting the double marginalization effect. The revenue sharing contract and the two-charge contract designed in this study coordinate the closed-loop supply chain system with warranty services, so that the member companies in the supply chain can achieve Pareto improvement.

Environmental sustainability of logistics service provider: an ANP-QFD approach

2015 ◽  
Vol 26 (2) ◽  
pp. 313-333 ◽  
Author(s):  
Jasmine Siu Lee Lam ◽  
Jing Dai
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Environmental Sustainability ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Sustainability Performance ◽  
Logistics Service

Purpose – The purpose of this paper is to propose a methodology with systematic metrics for logistics service providers (LSPs) to develop their environmental sustainability performance in the context of green supply chain management. Design/methodology/approach – An integrated analytical approach which combines analytical network process (ANP) with quality function deployment (QFD) is proposed to develop LSPs’ environmental sustainability performance. In the approach, QFD is used to translate customer requirements (CRs) for “green” concerns into multiple criteria for LSP’s design requirements (DRs). ANP is used to analyze the inter-relationships among the various CRs and DRs. Findings – The effectiveness of the proposed approach is demonstrated by applying it to a global LSP. A case study shows how the proposed “ANP-QFD” technique can be deployed to understand customers’ expectation for environment management and develop tactics and measures with the aim to achieve the desirable outcome for LSPs’ environmental sustainability performance. Practical implications – Firms that emphasize sustainability as a competitive priority will benefit by communicating sustainability efforts to customers. Therefore, “ANP-QFD” is an integrative method which helps develop LSPs’ environmental sustainability performance by enabling logistics managers incorporate the “voice” of customers for environmental concerns into their decision-making process. The study demonstrates how to develop LSPs to be greener in order to realize the requirements of green supply chains. The proposed integrated approach can also be applied in other decision-making scenarios for effective green supply chain management. Originality/value – Various approaches that can deal with multiple and conflicting criteria have been adopted for LSP assessment in the literature. However, they fail to include the impact of business objectives and the requirements of company stakeholders (customer in this study) in the identification of performance criteria for LSP. They also did not incorporate the environmental sustainability perspective. This paper contributes to the emerging research topic of environmental sustainability in logistics and supply chains by tackling these inadequacies in the literature. The study facilitates LSPs and the supply chains they serve in achieving better economic and environmental performance, thus leading to truly sustainable outcomes.

Design of Equipment’s Transportation Programs and Transport Activities

2012 ◽  
Vol 569 ◽  
pp. 769-775 ◽  
Author(s):  
Tian Deng ◽  
Nai Chao Wang ◽  
Lin Ma
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Life Cycle ◽  
Design Process ◽  
Systems Engineering ◽  
Transport Activity ◽  
Logistics System ◽  
Logistics Industry ◽  
Entire Life ◽  
Entire Life Cycle

With the developing of global trade, the role assumed by the logistics industry is increasing important. Transportation act as the main pillars of the logistics system, connecting suppliers, manufactures and customers Transportation is a means of connecting scatted factories and warehouses of the entire supply chain. Traditional transportation design emphasis on design and means of transportation decision-making on transport nodes and networks. In this article, transportation is designed based on systems engineering, considering the entire life cycle of the equipment . The factors in transport program is given in detail to be considered in the design of the equipment life cycle transport program, and gives the design process of the transport activity.

scholarly journals Quality Decision-Making Behavior of Bodies Participating in the Agri-Foods E-Supply Chain

2020 ◽  
Vol 12 (5) ◽  
pp. 1874
Author(s):  
Xu Jing ◽  
Yao Guanxin ◽  
Dai Panqian
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Food Supply ◽  
Quality Information ◽  
Business Practices ◽  
Quality Inspection ◽  
High Quality ◽  
Decision Making Behavior

The quality of agri-foods in e-supply chains confronts more threats than that in the traditional agri-food supply chain. However, most of the existing studies focusing on the quality problems of fresh agri-products are mainly cases studies and statistical analyses, and they do not take into account the farmers’ willingness to comply with safe agri-food supply procedures. To solve the supply quality problems of fresh agri-foods and help participators make a better choice, the decision-making behavior on the supply quality of agri-foods in the e-supply chain was deeply studied in this paper using game theory. Some factors related to the decision behavior of the supply chain were analyzed, including the supervision intension of the government, the rights protection consciousness of consumers, and the intensity of punishment for poor-quality agri-foods. These factors have an important influence on the farmers’ willingness to provide high-quality products and e-business’ probability of inspection. Compared with three different decision models of agri-food e-supply chains, the results show that the decentralized decision model is better than the centralized model from the view of quality protection. The behavior of members of the supply chain is as follows: the farmers’ willingness to supply high-quality agri-foods increases with the increase in the consumers’ consciousness of their rights and the government’s supervision intensity. The “experience deviation” phenomenon also occurs when a new e-business makes a decision about its quality inspection behavior in this e-supply chain where the quality information is traceable. As such, e-business enterprises should reduce their quality inspection behavior based on the increase in the government’s supervision intensity. This happens to be opposite to the traditional experience where quality information is not traceable. This study not only extends the research framework of the novel electronic supply chain, but also provides a certain reference for the subsequent research and e-business practices of fresh produce in developing countries.

Transforming Logistics Pricing

2017 ◽  
Vol 8 (1) ◽  
pp. 40-54
Author(s):  
Jeffrey Drue Peck Jr ◽  
Michael S Gendron ◽  
Tera Black
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Business Intelligence ◽  
Multivariate Regression ◽  
Raw Materials ◽  
Market Forces ◽  
Logistics Services ◽  
The Cost ◽  
The Relationship

Raw materials and products are moved and created globally through complex supply chains. Within those supply chains, logistics is what enables the goods to move through distribution and to the end consumer. This is what motivates the researchers to examine the logistics portion of the supply chain and attempt to determine the relationship between various market forces and their impact on the cost of logistics. This will be accomplished with transformative analytics techniques, such as multivariate regression modeling, that should enable logistics managers, researchers, and others to better understand the cost of logistics services, and thus impact pricing of goods dependent on those services. In a world where logistics managers rely heavily on “gut feel”, utilizing business intelligence and analytics can better enable decision making.

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