Department of Mechanical engineering

Permanent URI for this collectionhttp://localhost:4000/handle/123456789/1921

Browse

Search Results

Now showing 1 - 4 of 4
  • Item
    Decision framework for capacity decision in a supply chain
    (Inder Science, 2006-12) Routroy, Srikanta
    Capacity decision in the supply chain is a complex, multi-attribute decision problem that must be accomplished within a constrained resource environment. An Analytic Hierarchy Process (AHP) allows decision-makers to find the priority values of the potential facilities' location in the supply chain by considering the relevant attributes. These priority values have to be maximised, whereas the cost of facilities' locations, which depends upon the number of such locations and their capacity and the cost associated owing to transportation of raw materials between suppliers and facilities' locations and of finished products between markets and facilities locations, have to be minimised while making capacity decision in the supply chain. For this, a decision framework is developed which integrates the AHP with a 0–1 integer-programming model. A simulated annealing model is used for solving the capacity decision problem in the supply chain.
  • Item
    An approach for measuring a manufacturer’s preferred supplier status
    (Emerald, 2016-02) Routroy, Srikanta
    The purpose of this paper is to assist a manufacturer with a process to measure the level of preferred supplier status (PSS) of its key suppliers along the timeline
  • Item
    Development of supply chain risk mitigation strategy: a case study
    (Inder Science, 2014) Routroy, Srikanta; Pradhan, Sudeep Kumar
    The supply chain managers are making efforts to identify, assess, manage and mitigate the supply chain risks successfully to survive in the long run and to attain competitive advantages. The failure to manage these risks effectively can have a significant negative impact on supply chain performance. Therefore, the supply chain risks should be identified, quantified and analysed and it will form the basis for developing the supply chain mitigation strategies. Therefore, a complete and structured methodology is proposed for analysing supply chain risks and developing the supply chain risk mitigation strategies in a manufacturing supply chain environment. The application of proposed methodology has been demonstrated with a manufacturing case environment. It will be quite useful in the environment where quantitative information related to supply chain risks is not available.
  • Item
    Selection of Third Party Logistics Provider in supply chain
    (Inder Science, 2009) Routroy, Srikanta
    For most of the manufacturing firms, logistics is not considered to be a core competency and it is often performed by Third Party Logistics Provider (TPLP). The present work describes an efficient decision framework for TPLP evaluation and selection in supply chain. The objective of this paper is to explain how an Analytic Hierarchy Process (AHP) and Performance Value Analysis (PVA) algorithm can be used to capture and analyse Significant Categories (SCs) and Performance Indicators (PIs) for ranking the TPLPs effectively. The application of decision framework for TPLP evaluation and selection has been demonstrated with a case situation.