scholarly journals Mathematical Analysis of Supply Chain Optimization focusing on Artificial Neural Network: A case study in Apparel Manufacturing Organization

2022 ◽  
Author(s):  
Shibbir Ahmad ◽  
Mohammad Kamruzzaman
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Manufacturing Industry ◽  
Supply Chain Optimization ◽  
Apparel Manufacturing ◽  
Manufacturing Organizations ◽  
Manufacturing Organization ◽  
The Right

Abstract In this study, implemented artificial nueral network (Ann) in apparel manufacturing organizations to optimize the supply chain converging on right supplier selection by analyzing their performance criteria.Moreover, data collected from three diffrents factory to analyze the efficiney and profit -loss status of that units. Furthermore, analyze the supplier selection criteria of three suppliers in order to select the right supplier at the real time in apparel manufacturing industry . This study shows that it can be saved 20 % of the total cost.

Identification of barriers to synergistic implementation of TQM-SCM

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mandeep Kaur ◽  
Kanwarpreet Singh ◽  
Doordarshi Singh
Keyword(s):  
Supply Chain ◽  
Business Performance ◽  
Design Methodology ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Successful Implementation ◽  
Action Plans ◽  
Content Type ◽  
Manufacturing Organizations ◽  
Manufacturing Organization

PurposeThe study aims at finding out major barriers for synergistic adoption of TQM-SCM in the medium- and large-scale manufacturing organizations in India. All these barriers create hurdles for the organizations as well as supply chain partners in improving their business performance. The study is a blend of theoretical and practical frameworks, which will focus on key barriers leading to interrupt the successful synergistic implementation of TQM-SCM in manufacturing organization.Design/methodology/approachFirstly, survey of 116 Indian organizations has been carried out to identify barriers that hinder successful implementation of TQM-SCM. Afterward, VIKOR approach was proposed to rank the major barriers of TQM-SCM implementation in Indian manufacturing organizations.FindingsIdentification of barriers to synergistic implementation of TQM-SCM in the manufacturing industry of India, ranking of these barriers in terms of their severity.Originality/valueThe adoption of TQM-SCM on synergistic basis is still in its early stages in India. To the authors’ knowledge, this is the first study that is designed to prioritize barriers responsible for hindering successful synergistic implementation of (TQM-SCM) in Indian manufacturing industry. Further, the results of the study will be helpful for managers in order to prepare action plans to overcome the hurdles to TQM-SCM implementation.

scholarly journals Evaluating and ranking the circular supply chain implementation enablers

2021 ◽  
Author(s):  
Swapnil Lahane ◽  
◽  
Himanshu Prajapati ◽  
Ravi Kant ◽  
◽  
...  
Keyword(s):  
Supply Chain ◽  
Manufacturing Industry ◽  
Global Climate ◽  
Pairwise Comparison ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Effective Implementation ◽  
Manufacturing Organizations ◽  
Scarcity Of Resources ◽  
Hierarchy Process

This research aims to evaluate and rank the Circular Supply Chain (CSC) enablers for the effective implementation of CSC management. From the literature and input received from industrial experts, 30 CSC enablers are identified. Further, the selected CSC enablers are classified into seven main categories. This research employs the Pythagorean fuzzy analytic hierarchy process (PF-AHP) technique to prioritize the selected CSC enablers based on pairwise comparison of criteria and sub-criteria. The effectiveness of the proposed method is illustrated with the help of responses received from an Indian manufacturing industry. The result reveals that global climate pressure and ecological scarcity of resources is the most significant enabler and the environment management certifications and systems is the least important enabler. The result of the present study will assist the practitioners / decision makers in implementing CSC in manufacturing organizations by adopting the ranking obtained in a systematic way.

scholarly journals Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator

2017 ◽  
Vol 14 (3) ◽  
pp. 428 ◽  
Author(s):  
Rodrigo Barbosa de Santis ◽  
Leonardo Golliat ◽  
Eduardo Pestana de Aguiar
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Operations Management ◽  
Supplier Selection ◽  
Standard Procedure ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
And Performance ◽  
Hierarchy Process

The supplier selection problem has been discussed in literature within the supply chain management subject and it is extremely important due to its impact on the entire supply chain configuration, strategy and performance. This work presents a decision model based on the fuzzy analytic hierarchy process method and its application in a real case of maintenance supplier selection in a large Brazilian railway operator. Eight criteria were adopted - technical capacity, financial status, relationship, operations management, security management, infrastructure, historic performance and costs - for evaluating five potential suppliers. In the case study, both first and second ranked suppliers by the method have been selected by the company for providing the services and the model was adopted as a standard procedure within the organization for contracts over US$ 300,000.

scholarly journals Integration of sustainability aspects in the supplier selection process: a case study from a German electronics firm

2020 ◽  
Vol 3 (2) ◽  
pp. 13-27
Author(s):  
Rubén Medina Serrano ◽  
Wanja Wellbrock ◽  
María Reyes González Ramirez ◽  
José Luis Gascó
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Selection Process ◽  
Research Work ◽  
Academic Research ◽  
Professional Activity ◽  
Chain Management ◽  
Sustainable Supplier Selection

The supplier selection process has become an important area of research and professional activity, and it is fundamental to understand the types and trends of research in this field. The appropriate supplier selection decision is a fundamental strategic process and plays an important role in supply chain management. In the last decade, academic research on sustainability has evolved rapidly in the supply chain literature. However, there has been scant opportunity for the research community to complete a global assessment of sustainable supplier selection activities to date. This paper seeks to address this need by exploring sustainability in supply chain management, developing a sustainable supplier selection framework with a tool for its operationalization to help managers evaluate supplier selection decisions. Our proposed model is based on the TOPSIS concept as a multiple criteria decision-making (MCDM) model and is validated through a case study. This research work follows the best-in-class approach to comply with all applicable environmental regulations and laws in the supplier selection process.

AHP Approach for Supplier Selection in a Polyamide Fiber Plant in Supply Chain Management

2011 ◽  
Vol 299-300 ◽  
pp. 1252-1255
Author(s):  
Hui Jin ◽  
Chun Ling Liu ◽  
Xing Yu Wang
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Supplier Evaluation ◽  
Proposed Model ◽  
Polyamide Fiber ◽  
Fiber Plant ◽  
And Performance ◽  
Supplier Selection Problem

Supplier evaluation and selection is one of the most important components of supply chain, which influence the long term commitments and performance of the plant. Supplier selection is a complex multi-criteria problem which includes both qualitative and quantitative factors. In order to select the best suppliers it is essential to make a trade off between these tangible and intangible factors some of which may conflict. In this paper, an AHP-based supplier selection model is formulated and then applied to a real case study for a polyamide fiber plant in China. The use of the proposed model indicates that it can be applied to improve and assist decision making to resolve the supplier selection problem in choosing the optimal supplier combination.

Servitisation of an Industry and National Competitive Advantage in International Business: The Case of Taiwan Textile Manufacturing and Sri Lankan Apparel Manufacturing Industries

2017 ◽  
Vol 13 (3-4) ◽  
pp. 89-97
Author(s):  
Maheepala S. D. S. R. ◽  
Warnakulasooriya B. N. F. ◽  
Y. K. Weerakoon Banda
Keyword(s):  
Competitive Advantage ◽  
International Business ◽  
Manufacturing Industry ◽  
Sri Lankan ◽  
Apparel Manufacturing ◽  
Textile Manufacturing ◽  
Study Approach ◽  
Business To Business ◽  
National Competitive Advantage

Servitisation studies in extant literature contribute to the resource-based view and relational view where industrial organisation view was largely ignored due to the focus on individual manufacturing units. In international business industry, competitiveness is required to enhance the performance of individual organisations. Following post-positivism epistemology, a multi-case study approach has been employed in this study. The unit of analysis is the network consisting of manufacture, supplier and the customer. Two such units of apparel manufacturing industry in Sri Lanka and two units from textile manufacturing industry in Taiwan were selected. This study establishes the link between servitised industry and national competitive advantage. The collaboration with suppliers, indirect competitors and other partners were identified as critical factors to differentiate a business-to-business (B2B) manufacturing industry in an international business.

Supply chain, geographical indicator and blockchain: provenance model for commodity

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohita Gangwar Sharma
Keyword(s):  
Supply Chain ◽  
Institutional Theory ◽  
Supply Chains ◽  
Value Chain ◽  
Value Distribution ◽  
Content Type ◽  
Blockchain Technology ◽  
The Right ◽  
Theory Framework

PurposeMany commodity supply chains suffer from an unfair value distribution across the supply chain like “Coffee Paradox.” This study explores the coffee supply chain to determine how the country of origin–geographical indicator can be used as a method of fair distribution of value and provenance across the supply chain effectuated by the blockchain technology. By looking at an exemplar case study for India, this study provides insights into diverse research streams and practice.Design/methodology/approachBased on the case method, analyzing the implementation of blockchain in the coffee industry by a leading Indian software implementation of the logic, dynamics and forces for a provenance model has been devised. It further adopts a stakeholder cum institutional theory framework to understand the logical implementation of a blockchain project embedded in a territorial logic for a commodity supply chain.FindingsThis study specifically looks at coffee which is representative of a commodity supply chain. It also explores how the malaise of unfair value distribution gets addressed by bringing farmers and the consumers on a common platform facilitated by blockchain technology. This study contributes to the literature on blockchain, territory, commodity and supply chain. Using stakeholder cum institutional theory, this study helps to explore how the implementation is successful by different actors in the supply chain through collaboration.Research limitations/implicationsThis study provides a new stream of multi-disciplinary study at the interface of supply chain, technology, international trade and geography.Practical implicationsBlockchains are embedded in the supply chain, and supply chains are embedded in territories. This linkage is paramount and the ability to make these blockchain projects successful requires the deep study of the interaction of territory, technology and actors from the provenance angle. De-commodification of coffee can be actualized through blockchain.Social implicationsThe coffee paradox and skewed value distribution is also a social problem wherein the farmers do not get the right price of their produce and are exploited. This case also highlights how this social malaise can be addressed and rightful and equitable distribution of value happens across the value chain.Originality/valueThis linkage between territory, blockchain, commodity supply chain and institutions has not been discussed in the literature. Adopting the territorial design approach, this study is an attempt to stimulate inter-disciplinary conversations and thereby create a provenance framework for commodity and research questions for scholars from different disciplines and divergent disciplinary perspectives.

Sign in / Sign up

Export Citation Format

Share Document