scholarly journals An Application of Possibilistic Moments of Nonlinear Type of Fuzzy Numbers in Supply Chain Management

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Srimantoorao S. Appadoo ◽  
Yuvraj Gajpal ◽  
Amit Kumar
Keyword(s):  
Stochastic Process ◽  
Probability Theory ◽  
Supply Chain ◽  
Fuzzy Numbers ◽  
Network Modeling ◽  
Inventory Model ◽  
Supply Chain Network ◽  
International Level ◽  
Chain Management ◽  
Network Failure

The supply chain (SC) network is prone to disturbance due to various uncertainties associated with their subsystems. The COVID-19 outbreak has exposed the global vulnerability of the supply chain network. The current pandemic has severely affected almost every SC network because its members are situated at the international level. One of the reasons for SC network failure is the deterministic assumptions of different parameters. A realistic SC network model requires the use of the uncertain value of the parameters, which can be further captured by fuzzy numbers. This paper discusses the possibilistic moment of several nonlinear types of fuzzy numbers that are important for SC network modeling. We give closed-form possibilistic moments’ expression for various types of fuzzy numbers that are very similar to the moment’s properties in probability theory and stochastic process. We then illustrate the application of proposed fuzzy numbers by solving an inventory model. This paper also provides results related to the EPQ inventory model in a fuzzy possibilistic setup.

scholarly journals Going Green Supply Chain Management During COVID-19, Assessing the Best Supplier Selection Criteria: A Triple Bottom Line (TBL) Approach

2022 ◽  
Vol 17 (1) ◽  
pp. 36-51
Author(s):  
Maryam Khokhar ◽  
◽  
Wasim Iqbal ◽  
Yumei Hou ◽  
Muhammad Irshad
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Firm Performance ◽  
Supplier Selection ◽  
Fuzzy Numbers ◽  
Current Model ◽  
Triple Bottom Line ◽  
Bottom Line ◽  
Chain Management ◽  
Sustainable Supplier Selection

In the past ten years, sustainable supply chain management (SSCM) attach great importance due to consumers, for-profit and profitless organizations, laws and regulations to the social and corporate responsibilities of consumers, so it has been recognized by practitioners and scholars. Supplier selection, environmental effect like a lockdown, and social cooperation and other SSCM programs can play an important part in realizing the triple bottom line (TBL) of economic, environmental, social assistances. In supply chain management (SCM), the sustainable supplier selection (SSS) and firm performance plays an important role. Traditionally, when evaluating SSS performance, organizations will consider a new framework to obtain the overall criteria/sub-criteria of the sustainability index by encapsulating sustainability. In this paper 12 sub-criteria for 3 pillars of sustainability as economic, environment and social performance is collected. Although there are many articles on SSS and evaluation, so far, research on sustainability issues is very limited. This study endeavours to propose a fuzzy multi-criteria approach to discuss SSCM planning, and studies the issue of determining a current model for SSS in the supply chain during COVID-19 based on the TBL method. For express the linguistic value of the subjective preference of experts we use triangular fuzzy numbers. By using fuzzy numbers to find standard weights for qualitative performance evaluation, then fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is proposed to find the ranking of SSS. However, COVID-19 has a negative role in SSS and in firm performance. The situation of lockdown due to COVID-19 has a negative effect on the performance of the organizations. An example is given of the proposed method.

scholarly journals Drivers of Sustainable Supply Chain Management: Identification and Classification

2019 ◽  
Vol 11 (4) ◽  
pp. 1137 ◽  
Author(s):  
Muhammad Saeed ◽  
Wolfgang Kersten
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Social Issues ◽  
Supply Chain Network ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Sustainable Solutions ◽  
Sustainability Practices ◽  
Sustainability Initiatives

With the increase in awareness of environmental and social issues associated with the development and the use of products, stakeholders—especially consumers—are showing more concern regarding these issues. To address new developments and changing trends, organizations are now compelled to identify and implement innovative and sustainable solutions, not only within their organizations’ boundaries, but also across the whole supply chain network. The primary goal of this paper was to identify and analyze drivers of sustainable supply chain management (SSCM) that influence or encourage organizations to undertake sustainability initiatives and implement sustainable solutions throughout their supply chains. For this purpose, a systematic literature review was conducted and 1559 drivers of SSCM were identified from 217 journal articles. Precise interpretation, clear definitions, restructuring, and classification into external and internal driver categories produced a list of 40 unique drivers of SSCM. The results revealed that regulatory and market pressures, with reference to the number of citations, are the most prevailing drivers of SSCM for the implementation of sustainability practices. Classification of the drivers of SSCM into primary and secondary driver categories may assist practitioners and decision makers in prioritizing sustainability-related initiatives and adopting sustainability practices across the whole supply chain network.

Demystifying the Power of Blockchain Technology in Supply Chain Management

2020 ◽  
Vol 11 (4) ◽  
pp. 38-53
Author(s):  
Robin Singh Bhadoria ◽  
Neha Sharma ◽  
Manish Kumar Pandey
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Management Systems ◽  
Supply Chain Network ◽  
Critical System ◽  
Chain Management ◽  
Blockchain Technology ◽  
Management Objectives ◽  
Future Supply ◽  
The Impact

Modern supply chain management systems have evolved into a complex and critical system. Thus, it has grown more interesting to verify the source of products and its visibility as it is moving through the supply chain network. The application of blockchain technology and Internet of Things (IoT) are likely to affect the supply chain management objectives such as cost, quality, speed, dependability, risk reduction, sustainability, and flexibility. This paper presented the concept of how blockchain technology and IoT can help to achieve supply chain objectives. This research focuses on the impact of blockchain on current and future supply chain management systems.

scholarly journals An integrated production and inventory model considering reworks and two types of demand simultaneously in a two level supply chain network

2019 ◽  
Vol 505 ◽  
pp. 012071
Author(s):  
Jonrinaldi ◽  
T Rahman ◽  
Henmaidi ◽  
Eri Wirdianto ◽  
Asmuliardi Muluk
Keyword(s):  
Supply Chain ◽  
Inventory Model ◽  
Supply Chain Network ◽  
Integrated Production

An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network

2020 ◽  
Vol 260 ◽  
pp. 120842 ◽  
Author(s):  
Mehdi Biuki ◽  
Abolfazl Kazemi ◽  
Alireza Alinezhad
Keyword(s):  
Supply Chain ◽  
Sustainable Design ◽  
Inventory Model ◽  
Perishable Products ◽  
Supply Chain Network ◽  
Location Routing

scholarly journals Implementing Green Supply Chain Management for Online Pharmacies through a VADD Inventory Model

2019 ◽  
Vol 16 (22) ◽  
pp. 4454 ◽  
Author(s):  
Yan-Kwang Chen ◽  
Fei-Rung Chiu ◽  
Yu-Cheng Chang
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Solution Procedure ◽  
Inventory Model ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Web Interfaces ◽  
Online Pharmacy ◽  
Online Pharmacies

Online pharmacies are an important part of the modern healthcare system. They interact with customers through well-designed web interfaces to deliver the healthcare customers need. In addition to well-designed web interfaces, online pharmacies rely on an effective supply chain system to provide medical supplies and services, and especially effective inventory management for supply systems. As green supply chain management (GSCM) becomes increasingly considered by countries, how to develop a sustainable inventory model that takes into account the revenue growth of an online pharmacy while preventing waste and reducing energy costs has become very important. In line with this trend, the study develops a sustainable inventory model that focuses on both economic aspect (profit) and environmental aspect (losses from excessive inventory) within a framework of a single period multi-product inventory model. Specifically, the sustainable inventory model applies the visual-attention-dependent demand (VADD) rate to characterize customer demand in an online trading environment, thereby seeking a profitable marketing strategy and reducing losses due to excessive inventory. Since the complexity of model optimization will drastically increase due to the inclusion of many products in the problem, a Genetic Algorithm (GA) based solution procedure is proposed to increase the feasibility of the proposed model in solving real problems. The sustainable inventory model and the solution procedure are illustrated, compared, and discussed with an online pharmacy example. Additionally, a sensitivity analysis is formulated to study the influence of model parameters on the model solution, the loss of unsold inventory that results in a waste of resources and energy, and the profit of online pharmacies.

Enhancing Operations of Supply Chain Management through a Responsive Information Framework

2014 ◽  
Vol 665 ◽  
pp. 751-755
Author(s):  
Henry Lau
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Service Providers ◽  
Workflow Management ◽  
Database Systems ◽  
Supply Chain Network ◽  
Heterogeneous Database ◽  
Global Marketplace ◽  
Chain Management ◽  
Management Capability

Logistics management becomes an important competency in today’s highly competitive market; it has been a focus on the research of information systems, which act as the tools to enhance the capability of supply chain network. To compete and survive in this ever-changing global marketplace, individual companies can hardly survive in isolation of their business partners, suppliers, and other service providers. However, the lack of a seamless interchange and efficient data analysis hinders the formation of an effective information infrastructure that serves as the platform for data interchange of the heterogeneous database systems in the supply chain network. This paper proposed an infrastructure of information system that encompasses data mining and workflow management capability by adopting the advanced technologies of Online Analysis Process (OLAP) and workflow management system to facilitate supply chain management.

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