scholarly journals Multi-Layer Fuzzy Sustainable Decision Approach for Outsourcing Manufacturer Selection in Apparel and Textile Supply Chain

Axioms ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 262
Author(s):  
Chia-Nan Wang ◽  
Thuy-Duong Thi Pham ◽  
Nhat-Luong Nhieu
Keyword(s):  
Supply Chain ◽  
Textile Industry ◽  
Production Systems ◽  
Multiple Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Selection Decisions ◽  
The World ◽  
Dea Models ◽  
Foreign Outsourcing ◽  
Textile Supply Chain

The apparel and textile industry are known as a key sector in the structure of many economies around the world. In particular, the influence of foreign outsourcing manufacturers on textile supply chains has been recognized for decades. The outsourcing manufacturers are multi-criteria selected and changed by supply chain managers from time to time in search of the most efficient state for the entire supply chain. This is a known concern with the community and there is large interest in studying the apparel and textile outsourcing manufacturer problems. Aiming at reinforcing the selection methods, this study develops a three-layer fuzzy multiple criteria decision-making approach that leverages the strengths from the original methods. In turn through the layers, the hierarchy and weights of criteria and sub-criteria, which includes sustainability factors, are determined by the fuzzy analytic hierarchy process (FAHP) method. Next, the results from the fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) process determine the outsourcing manufacturer’s performance via expert linguistics judgments. Then, data envelopment analysis (DEA) models are applied for the purpose of evaluating the outsourcing manufacturer’s overall performance along with other quantitative effectiveness. This approach is applied to the problem of selecting the apparel and textile outsourcing manufacturers in Vietnam, one of the places that makes the necessity of this problem grow. The third position in the world apparel and textile export ranking, as well as the trend of shifting labor-intensive production systems to Southeast Asia make the necessity of Vietnam outsourcing manufacturer selection problem grow. The results of this study also classified manufacturers into groups as a support for selection decisions. Analysis of quantitative uncertainties using simulation tools and forecasting techniques can strengthen the solutions in future related studies.

scholarly journals Computation of Fuzzy Analytic Hierarchy Process (FAHP) Using MATLAB Programming In Sustainable Supply Chain

2018 ◽  
Vol 7 (3.20) ◽  
pp. 82
Author(s):  
Ahamad Zaki Mohamed Noor ◽  
Muhammad Hafidz Fazli Md Fdiaua ◽  
Nur Zul Hafiq Zulkifli ◽  
Muhamad Naqib Abdul Basit ◽  
Fairul Azni Jafar ◽  
...  
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Fuzzy Analytic Hierarchy Process ◽  
Delivery Time ◽  
Sustainable Supply Chain ◽  
Analytic Hierarchy ◽  
The World ◽  
Matlab Programming ◽  
Hierarchy Process

Fuzzy Analytic Hierarchy Process (FAHP) is a well-known method which is currently used by many researchers all around the world. However, the problem lies where the steps are lengthy and consumes time. This paper does the purpose to share a method where Decision Makers (DM) can reduce error or any mistakes while manual compute. A MATLAB programming is develop and field of sustainable supply chain is use as experiment purpose. There is one out of four criteria need to be selected by using FAHP. The criteria are cost, quality, delivery time and supplier distance. Both methods are done simultaneously and the answers were recorded. The percentage accuracy shows 100% for every step showing there is no error and the answers are the same if MATLAB is applied. Final answers for both shows that quality is the highest criterion to be selected based on the weightage.  

scholarly journals Interrelationship among CE Adoption Obstacles of Supply Chain in the Textile Sector: Based on the DEMATEL-ISM Approach

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1425
Author(s):  
Wen-Kuo Chen ◽  
Ching-Torng Lin
Keyword(s):  
Supply Chain ◽  
Textile Industry ◽  
Business Models ◽  
The Common ◽  
Successful Business ◽  
The Government ◽  
Textile Supply Chain ◽  
The Right ◽  
And Control ◽  
Textile Sector

Globally, in the innovative and distributional circular textiles, the textile sector of Taiwan has a prominent place. Within the textile industry, the circular economy (CE) obstacles adopted have been studied by several scholars. However, the interrelationships among these obstacles are easily ignored. The present study aimed to identify CE adoption obstacles from the supply chain (SC) perspective in Taiwan’s textile sector by analyzing the interrelationships among the CE adoption obstacles and establishing a hierarchical network and the causal inter relationships of the identified obstacles. Furthermore, the CE adoption obstacles and interrelationships were analyzed using interpretative structural modeling and the decision-making trial and evaluation laboratory (ISM-DEMATEL). The common results of the two methods demonstrated that two obstacles, consumers not having sufficient knowledge and awareness of reuse/recycling (B1) and a lack of successful business models and frameworks for CE implementation (B3), were the significant obstacles influencing adopting CE in the textile supply chain, while the obstacle making the most efficient way (B12) of the right decision to implement CE was minor. Thus, the government should formulate friendly laws and regulations that encourage CE adoption, while textile firms should monitor and control recycling and efficiency approaches handling the CE adoption problems. Our results could offer first-hand knowledge to textile firms or managers to effetely achieve CE implementation objectives.

scholarly journals The implementation of Customer Relationship Management (CRM) on textile supply chain using k-means clustering in data mining

2018 ◽  
Vol 204 ◽  
pp. 04017 ◽  
Author(s):  
Anik Dwiastuti ◽  
Aisyah Larasati ◽  
Endang Prahastuti
Keyword(s):  
Data Mining ◽  
Supply Chain ◽  
Customer Relationship Management ◽  
Textile Industry ◽  
Customer Value ◽  
Relationship Management ◽  
Customer Relationship ◽  
Clustering Methods ◽  
Data Set ◽  
Textile Supply Chain

Supply chain in textile industry requires an involvement of several other related industry therefore it divide into several sub-sector industry. The market dynamic and complexity of supply chain network are causing problem. This study aims to classify the market base on consumers behaviour through their preferences in textile product in East Java. Analysis of data using data mining approach. Algorithm K-means type clustering is use as clustering methods by integrating with Customer Relationship Management (CRM) concept. The simulation result of data set using five cluster depends on their variability value are Lumajang, Malang, Madura, Tulungagung, and Ponorogo. The clusters formed have the highest importance predictor in “way of purchase” and the lowest in “purchase flexibility”. The result in this study is generally indicate that consumers of textile products in East Java prioritize values in customer value compared to product quality.

scholarly journals APPLYING CFMAE METHOD TO BUILD A SUPPLY CHAIN PERFORMANCE ASSESSMENT SYSTEM IN TEXTILE INDUSTRY IN HO CHI MINH CITY

2014 ◽  
Vol 17 (4) ◽  
pp. 69-82
Author(s):  
Thanh Van Vo ◽  
Trung Quoc Pham
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Supply Chain ◽  
Performance Measurement ◽  
Measurement System ◽  
Textile Industry ◽  
Ho Chi Minh City ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Textile Supply Chain

The paper provides an application which is a combination between decision making technique and fuzzy logic to build a supply chain performance measurement system in textile industry in Ho Chi Minh City. The methodology is a combination of theoretical analysis, Delphi quantitative method and Combined Fuzzy Multiple Attribute Evaluation (CFMAE) method. First of all, based on theories on textile supply chain, we developed a hierarchical system for performance measurement. After three Delphi rounds to seek opinions of experts on the system, the CFMAE which consists of two phases (fuzzy integral and fuzzy analysis hierarchy process – FAHP) was conducted to build a supply chain performance measurement system in textile industry with general attributes. The study has constructed a supply chain performance measurement system in textile industry in Ho Chi Minh City with suitable attributes. The weight of attributes is determined as a general viewpoint of the industry of the importance of the attributes to the supply chain performance. In terms of practicality, this paper provides an approach in the performance measurement for the textile supply chain that serves as a framework for a centralized and effective improvement. The scientific meaning of this paper is the application of the fuzzy logic in economics and management to eliminate the subjectivity in the decision making process.

scholarly journals Review: Impacts of shade on cattle well-being in the beef supply chain

2020 ◽  
Author(s):  
Lily N Edwards-Callaway ◽  
M Caitlin Cramer ◽  
Caitlin N Cadaret ◽  
Elizabeth J Bigler ◽  
Terry E Engle ◽  
...  
Keyword(s):  
Supply Chain ◽  
Heat Stress ◽  
Beef Cattle ◽  
Production Systems ◽  
Construction Materials ◽  
Well Being ◽  
Third Party ◽  
Ambient Temperatures ◽  
Stress Susceptibility ◽  
The Impact

ABSTRACT Shade is a mechanism to reduce heat load providing cattle with an environment supportive of their welfare needs. Although heat stress has been extensively reviewed, researched, and addressed in dairy production systems, it has not been investigated in the same manner in the beef cattle supply chain. Like all animals, beef cattle are susceptible to heat stress if they are unable to dissipate heat during times of elevated ambient temperatures. There are many factors that impact heat stress susceptibility in beef cattle throughout the different supply chain sectors, many of which relate to the production system, i.e. availability of shade, microclimate of environment, and nutrition management. The results from studies evaluating the effects of shade on production and welfare are difficult to compare due to variation in structural design, construction materials used, height, shape, and area of shade provided. Additionally, depending on operation location, shade may or may not be beneficial during all times of the year, which can influence the decision to make shade a permanent part of management systems. Shade has been shown to lessen the physiologic response of cattle to heat stress. Shaded cattle exhibit lower respiration rates, body temperatures, and panting scores compared to un-shaded cattle in weather that increases the risk of heat stress. Results from studies investigating the provision of shade indicate that cattle seek shade in hot weather. The impact of shade on behavioral patterns is inconsistent in the current body of research, some studies indicating shade provision impacts behavior and other studies reporting no difference between shaded and un-shaded groups. Analysis of performance and carcass characteristics across feedlot studies demonstrated that shaded cattle had increased ADG, improved feed efficiency, HCW, and dressing percentage when compared to cattle without shade. Despite the documented benefits of shade, current industry statistics, although severely limited in scope, indicate low shade implementation rates in feedlots and data in other supply chain sectors do not exist. Industry guidelines and third party on-farm certification programs articulate the critical need for protection from extreme weather but are not consistent in providing specific recommendations and requirements. Future efforts should include: updated economic analyses of cost versus benefit of shade implementation, exploration of producer perspectives and needs relative to shade, consideration of shade impacts in the cow-calf and slaughter plant segments of the supply chain, and integration of indicators of affective (mental) state and preference in research studies to enhance the holistic assessment of cattle welfare.

Managing globalization of R&D: Organizing for offshoring innovation

2006 ◽  
Vol 25 (2) ◽  
pp. 103-114
Author(s):  
Ashok Deo Bardhan
Keyword(s):  
Management Practices ◽  
Individual Cell ◽  
Organization Structure ◽  
Innovative Activity ◽  
Basic Building Block ◽  
Market Incentives ◽  
The World ◽  
Foreign Outsourcing ◽  
Input Markets ◽  
High Skill

This article analyzes the challenges brought about by the globalization of innovative activity to the science and practice of management. The task of matching organization structure and management practices to the needs of R&D offshoring is analyzed through a set of dichotomous pairs of concepts: (1) Drastic vs. Gradual and Systemic vs. Autonomous Innovation, (2) High vs. Low Skill Specificity, (3) Input Markets vs. Output Markets, (4) Intra-Firm vs. Arms Length Offshoring. In the trade-off between markets and hierarchies, the firms often come down on the side of the latter when it comes to the setting up of R&D facilities abroad. Organizational directives and internalization, i.e., intra-firm offshoring can trump market incentives and foreign outsourcing, when it comes to the uncertain returns from innovative activity, particularly in the case of drastic innovations and high skill specificity. Globalization has led to dispersed markets and firms have responded with dispersed locations of core assets, creating competence clusters all over the world, and the innovative firm of the future will restructure each individual cell, the basic building block of the firm consisting of an occupation devoted to a product, and redeploy and relocate them globally, where it is most advantageous.

scholarly journals Transformation of the Innovative and Sustainable Supply Chain with Upcoming Real-Time Fashion Systems

2021 ◽  
Vol 13 (3) ◽  
pp. 1081
Author(s):  
Yoon Kyung Lee
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Computer Aided Design ◽  
Production Systems ◽  
Fashion Industry ◽  
Sustainable Supply Chain ◽  
Information Communication ◽  
Manufacturing Planning ◽  
Fashion Products ◽  
Aided Design

Technologies that are ready-to-use and adaptable in real time to customers’ individual needs are influencing the supply chain of the future. This study proposes a supply chain framework for an innovative and sustainable real-time fashion system (RTFS) between enterprises, designers, and consumers in 3D clothing production systems, using information communication technology, artificial intelligence (AI), and virtual environments. In particular, the RTFS is targeted at customers actively involved in product purchasing, personalising, co-designing, and manufacturing planning. The fashion industry is oriented towards 3D services as a service model, owing to the automation and democratisation of product customisation and personalisation processes. Furthermore, AI offers referral services to prosumers or/and customers and companies, and proposes individual designs with perfect styles and measurements using new 3D computer aided design and AI-based product design technologies for fashion and design companies and customers. Consequently, 3D fashion products in the RTFS supply chain are entirely digital, saving time and money with sampling and tracking capabilities, secured, and trusted with personalised service delivery.

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

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
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.

Measuring Performance of a Three-Stage Network Structure Using Data Envelopment Analysis and Nash Bargaining Game: A Supply Chain Application

2018 ◽  
Vol 17 (05) ◽  
pp. 1429-1467 ◽  
Author(s):  
Mohammad Amirkhan ◽  
Hosein Didehkhani ◽  
Kaveh Khalili-Damghani ◽  
Ashkan Hafezalkotob
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Nash Bargaining ◽  
Data Envelopment ◽  
Second Stage ◽  
Proposed Model ◽  
Nash Bargaining Game ◽  
Dea Models ◽  
Overall Efficiency

The issue of efficiency analysis of network and multi-stage systems, as one of the most interesting fields in data envelopment analysis (DEA), has attracted much attention in recent years. A pure serial three-stage (PSTS) process is a specific kind of network in which all the outputs of the first stage are used as the only inputs in the second stage and in addition, all the outputs of the second stage are applied as the only inputs in the third stage. In this paper, a new three-stage DEA model is developed using the concept of three-player Nash bargaining game for PSTS processes. In this model, all of the stages cooperate together to improve the overall efficiency of main decision-making unit (DMU). In contrast to the centralized DEA models, the proposed model of this study provides a unique and fair decomposition of the overall efficiency among all three stages and eliminates probable confusion of centralized models for decomposing the overall efficiency score. Some theoretical aspects of proposed model, including convexity and compactness of feasible region, are discussed. Since the proposed bargaining model is a nonlinear mathematical programming, a heuristic linearization approach is also provided. A numerical example and a real-life case study in supply chain are provided to check the efficacy and applicability of the proposed model. The results of proposed model on both numerical example and real case study are compared with those of existing centralized DEA models in the literature. The comparison reveals the efficacy and suitability of proposed model while the pitfalls of centralized DEA model are also resolved. A comprehensive sensitivity analysis is also conducted on the breakdown point associated with each stage.

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