Evaluating Pallet Investment Strategy Using Fuzzy Analytic Network Processes: A Case in Chinese Chain Supermarkets

Presently in Chinese chain supermarkets, many enterprises have built automatic equipment and information facilities in the logistics center of their supply chain systems. Modern logistics technology and equipment largely depend on the resource integration of each role in the chain (such as suppliers, manufacturers, wholesalers, and retailers), especially logistics facilities and equipment resources, to realize the circulation of products. The pallet, which is an indispensable basic tool for a supply chain system in the process of product circulation, is most often used in the handling, stacking, storage, and transportation of products. The process of building automation and informationization in the supply chain system of Chinese supermarket chains requires the solving of the problems of cost and sharing pallets in logistics operations. Large-scale enterprises often spend millions of dollars on investment, the failure of which can cause significant harm to the enterprise. Therefore, the authors of this paper adopted the fuzzy analytic network process (FANP), combining fuzzy and ANP models to evaluate our studied case. We utilized an actual case as the research object to resolve the important decisions regarding pallet resource sharing investment in the supply chain system. Importantly, it is expected that the proposed method can provide an important reference standard or a new idea for decision makers in the chain supermarket industry or related industries.

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Modeling Relief Demands in an Emergency Supply Chain System under Large-Scale Disasters Based on a Queuing Network

The Scientific World JOURNAL ◽

10.1155/2014/195053 ◽

2014 ◽

Vol 2014 ◽

pp. 1-12 ◽

Cited By ~ 2

Author(s):

Xinhua He ◽

Wenfa Hu

Keyword(s):

Supply Chain ◽

Large Scale ◽

Mathematical Problem ◽

Distribution Centers ◽

Supply Chain System ◽

Time Model ◽

Chain System ◽

Emergency Rescue ◽

Rescue Center ◽

Emergency Supply

This paper presents a multiple-rescue model for an emergency supply chain system under uncertainties in large-scale affected area of disasters. The proposed methodology takes into consideration that the rescue demands caused by a large-scale disaster are scattered in several locations; the servers are arranged in multiple echelons (resource depots, distribution centers, and rescue center sites) located in different places but are coordinated within one emergency supply chain system; depending on the types of rescue demands, one or more distinct servers dispatch emergency resources in different vehicle routes, and emergency rescue services queue in multiple rescue-demand locations. This emergency system is modeled as a minimal queuing response time model of location and allocation. A solution to this complex mathematical problem is developed based on genetic algorithm. Finally, a case study of an emergency supply chain system operating in Shanghai is discussed. The results demonstrate the robustness and applicability of the proposed model.

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SESCF: A Secure and Efficient Supply Chain Framework via Blockchain-Based Smart Contracts

Security and Communication Networks ◽

10.1155/2021/8884478 ◽

2021 ◽

Vol 2021 ◽

pp. 1-18

Author(s):

Menghui Lou ◽

Xiaolei Dong ◽

Zhenfu Cao ◽

Jiachen Shen

Keyword(s):

Supply Chain ◽

Radio Frequency Identification ◽

Large Scale ◽

Distributed Storage ◽

Smart Contracts ◽

Supply Chain System ◽

Chain System ◽

Unique Identity ◽

Frequency Identification

The demands for the fairness, security, and efficiency of the supply chain have grown significantly due to the rise of globalization. However, some problems of the information flow, logistics, and capital flow in the supply chain remain a challenge, such as the information asymmetry between upstream and downstream, substandard quality of goods, difficulty in traceability, and default of payment. Therefore, this paper proposes a blockchain-based supply chain framework (SESCF), which solves the supply chain problems securely and efficiently. First, the use of blockchain and smart contracts ensures the information symmetry in the supply chain system. Second, the radio frequency identification (RFID) provides a unique identity of goods, which helps in real-time quality monitoring. Additionally, the immutability and distributed storage of the blockchain play an important role in tracking the origin of goods. Third, the efficient payment channel is used to solve the problem of payment defaults. Furthermore, simulations of smart contracts along with the security analyses are presented in this paper. We also implement a blockchain-based supply chain system (SescfDapp), which is built upon a Consortium blockchain. Large-scale experiments and detailed analysis prove the feasibility and efficiency of our proposed system.

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Negotiation Model in a Multi-Agent Supply Chain System for the Crisis Management

13th IFAC Symposium on Information Control Problems in Manufacturing ◽

10.3182/20090603-3-ru-2001.00169 ◽

2009 ◽

Author(s):

Zgaya, Hayfa

Keyword(s):

Supply Chain ◽

Crisis Management ◽

Supply Chain System ◽

Negotiation Model ◽

Chain System ◽

Multi Agent

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Measuring the Environmental Maturity of the Supply Chain Finance: A Big Data-Based Multi-Criteria Perspective

Logistics ◽

10.3390/logistics5020022 ◽

2021 ◽

Vol 5 (2) ◽

pp. 22

Author(s):

Hisham Alidrisi

Keyword(s):

Big Data ◽

Supply Chain ◽

Multicriteria Decision Making ◽

Analytic Network Process ◽

Assessment Model ◽

Self Assessment ◽

Interpretive Structural Modeling ◽

Supply Chain Finance ◽

Network Process ◽

Order Preference

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.

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A Model of Waste Price in a Symbiotic Supply Chain Based on Stackelberg Algorithm

Sustainability ◽

10.3390/su13041740 ◽

2021 ◽

Vol 13 (4) ◽

pp. 1740

Author(s):

Cheng Che ◽

Xiaoguang Zhang ◽

Yi Chen ◽

Liangyan Zhao ◽

Zhihong Zhang

Keyword(s):

Sensitivity Analysis ◽

Supply Chain ◽

Comparative Analysis ◽

Power Structure ◽

Income Level ◽

Power Structures ◽

Optimal Price ◽

Supply Chain System ◽

Chain System ◽

Revenue Model

By establishing a two-level symbiotic supply chain system consisting of one supplier and one manufacturer, we use Stackelberg method to analyze the optimal price and revenue model of supplier and manufacturer in the symbiotic supply chain under two power structures in which the supplier and manufacturer are dominant respectively, and analyze the influence of the degree of symbiosis and power structure on the model. Through comparative analysis, we find that: There is a relationship between the income level and the degree of symbiosis in the symbiotic supply chain. The change of power structure will affect the relative benefits of suppliers and manufacturers in the symbiotic supply chain. The manufacturer’s expected unit product revenue will affect the supply chain revenue when the manufacturer is dominant. Finally, the sensitivity analysis of relevant parameters is carried out through an example analysis, and the validity of the conclusion is verified. This paper has a guiding significance for the behavior of enterprises in the cogeneration supply chain.

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Development of Supply Chain Integration model through application of Analytic Network Process and Bayesian Network

International Journal of Integrated Supply Management ◽

10.1504/ijism.2013.055068 ◽

2013 ◽

Vol 8 (1/2/3) ◽

pp. 67 ◽

Cited By ~ 2

Author(s):

Meysam Maleki ◽

Eduard Shevtshenko ◽

Virgilio Cruz Machado

Keyword(s):

Supply Chain ◽

Bayesian Network ◽

Analytic Network Process ◽

Supply Chain Integration ◽

Integration Model ◽

Network Process

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Using the Analytical Network Process to Select the Best Strategy for Reducing Risks in a Supply Chain

Journal of Engineering ◽

10.1155/2013/375628 ◽

2013 ◽

Vol 2013 ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

L. Hosseini ◽

R. Tavakkoli-Moghaddam ◽

B. Vahdani ◽

S. M. Mousavi ◽

R. Kia

Keyword(s):

Supply Chain ◽

Multicriteria Decision Making ◽

Analytic Network Process ◽

Supply Chain Network ◽

Total Quality ◽

Analytic Hierarchy ◽

Network Process ◽

Supply Chain Risks ◽

Hierarchy Process ◽

Different Levels

This paper considers four types of the most prominent risks in the supply chain. Their subcriteria and relations between them and within the network are also considered. In a supply chain, risks are mostly created by fluctuations. The aim of this study is to adopt a strategy for eliminating or reducing risks in a supply chain network. Having various solutions helps the supply chain to be resilient. Therefore, five alternatives are considered, namely, total quality management (TQM), leanness, alignment, adaptability, and agility. This paper develops a new network of supply chain risks by considering the interactions between risks. Perhaps, the network elements have interacted with some or all of the factors (clusters) or subfactors. We constitute supply chain risks in the analytic network process (ANP), which attracted less attention in the previous studies. Most of the studies about making a decision in supply chains have been applied in analytic hierarchy process (AHP) network. The present study considers the ANP as a well-known multicriteria decision making (MCDM) technique to choose the best alternative, because of the interdependency and feedbacks of different levels of the network. Finally, the ANP selects TQM as the best alternative among the considered ones.

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