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• A Study on an Extensive Hierarchical Model for Demand Forecasting of Automobile Components

  Cisse Sory Ibrahima, Jianwu Xue, Thierno Gueye

  40-48

  
  Article ID: 3261
  478  (Abstract) 159  (Download)
  

  Abstract: Demand forecasting and big data analytics in supply chain management are gaining interest. This is attributed to the wide range of big data analytics in supply chain management, in addition to demand forecasting, and behavioral analysis. In this article, we studied the application of big data analytics forecasting in supply chain demand forecasting in the... More

  2021-08-24

• Impacts and Possible Responses Related to COVID-19 in the Textile and Apparel Industry of Bangladesh

  Tareque Rahaman, Tarekul Islam

  9-15

  
  Article ID: 3166
  946  (Abstract) 343  (Download)
  

  Abstract:

  This research work was intended to analyze the unleashed issues related to apparel trade during COVID-19 pandemic & made an attempt to find the best possible responses to uphold marketing campaigns during & after the pandemic situation. Apparel industries in Asia, the largest global hub of both the textile & apparel import-export trade have been... More

  2021-06-22

• Prediction of Production Capability for Subcontractors in Automotive Rubber Part Supply Chain Using Neuro-Fuzzy System

  Suthep Butdee, Pichai Janmanee

  1-12

  
  Article ID: 5941
  267  (Abstract) 236  (Download)
  

  Abstract:

  The paper proposes prediction production capability for automotive rubber part supply chain subcontractors in order to remain competitive in the global market. Rubber parts are used widely in automotive, motorcycles, trucks and other types of vehicles which are mostly small sizes but huge quantities to support original equipment manufacturer (OEM) brands with specific parts. The... More

  2023-11-03

• Greening the Supply Chain: Drivers and Outcomes in the Korean Manufacturing Industry

  Joohan Ryoo

  82-100

  
  Article ID: 5930
  303  (Abstract) 194  (Download)
  

  Abstract:

  This research investigates the determinants of green supply chain management (GSCM) adoption and its impact on organizational performance, while considering the potential moderating factors influencing GSCM adoption. Despite the growing prevalence of GSCM practices among Korean firms, the factors driving their adoption have not received sufficient attention. To bridge this gap, the study uses structural... More

  2023-09-18