Making Strategic Supply Chain Capacity Planning more Dynamic to cope with Hyperconnected and Uncertain Environments

Public and private organizations cope with a lot of uncertainties when planning the future of their supply chains. Additionally, the network of stakeholders is now intensely interconnected and dynamic, revealing new collaboration opportunities at a tremendous pace. In such a context, organizations must rethink most of their supply chain planning decision support systems. This is the case regarding strategic supply chain capacity planning systems that should ensure that supply chains will have enough resources to profitably produce and deliver products on time, whatever hazards and disruptions. Unfortunately, most of the existing systems are unable to consider satisfactorily this new deal. To solve this issue, this paper develops a decision support system designed for making strategic supply chain capacity planning more dynamic to cope with hyperconnected and uncertain environments. To validate this decision support system, two industrial experiments have been conducted with two European pharmaceuticals and cosmetics companies

Supply Chain Management and Management Science: A Successful Marriage

The last century has witnessed extant studies on the applications of Management Science (MS) to a diverse set of Supply Chain Management (SCM) issues. This paper provides an overview of the contribution of MS within SCM. A framework is developed in this paper with a sampling of MS contributions to major SCM dimensions. Future research directions are presented

Semantic web-based supplier discovery system for building a long-term supply chain

As companies move forward to source globally, supply chain management has gained attention more than ever before. In particular, the discovery and selection of capable suppliers has become a prerequisite for a global supply chain operation. Manufacturing e-marketplaces have helped companies quickly and effectively discover new suppliers and/or buyers for their products and services. However, as the requirements and capabilities in isolation, their true meanings may not be uniformly interpreted by each other. The issue of semantics between suppliers and buyers, then, remains an obstacle. The main objective of this paper is to propose a semantic web-based supplier discovery system for building a long-term strategic supply chain. Specifically, (1) a key ontology is developed to represent the supplier's capability information and the buyer's requirements; (2) supplier's potential capability is reasoned; and (3) and buyer's requirements are semantically matched with supplier's capability based on a similarity calculation. In order to build a long-term supply chain, the system receives supplier's capability information composed of manufacturing capability, and non-manufacturing capability. The supplier's non-manufacturing capability is evaluated considering information on the supplier's finances, customers, internal business and learning and growth, based upon the Balanced Scorecard (BSC), which has been widely used to evaluate companies. In addition, a prototype for semantic web-based supplier discovery is implemented in order to demonstrate the practicality of the developed system.X1123sciescopu