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Mohamed Hmiden

Informations générales

Mohamed Hmiden
Grade

Maître Assistant

Publications

  • 2014
    Mohamed Hmiden, Lamjed Ben Said, Khaled Ghédira

    Transshipment problem with fuzzy customer demands and fuzzy inventory costs

    International Journal of Management and Decision Making, 13(1), 99-118., 2014

    Résumé

    We consider a supply chain consisting of a supplier and locations selling an innovative product. These locations could collaborate together by transshipment which is known as product transferring adopted mainly to reduce inventory costs and to improve customer service level. In this research, we are interested in the transshipment problem where the customer demands, the holding and the shortage costs are uncertain and represented by fuzzy sets. Our objectives are to propose a transshipment policy that takes into account the fuzziness of the mentioned parameters and to derive the approximate replenishment quantities. In order to achieve these objectives, we propose a transshipment decision process considering decision makers attitudes towards risks and a hybrid algorithm based on fuzzy simulation and genetic algorithm designed to determine the approximate replenishment quantities.

  • Mohamed Hmiden, Lamjed Ben Said, Khaled Ghedira

    A two-step transshipment model with fuzzy demands and service level constraints

    International journal of simulation modelling, 9(1), 40-52., 2010

    Résumé

    We consider a distribution network composed of one supplier and several non-identical locations characterized by fuzzy customer demands and service level constraints. These locations could cooperate together via product transfer known as transshipment. The transshipment problem consists in determining the replenishment quantities that minimize the total inventory cost where a specific transfer policy is practiced. Our objectives in this paper are to identify an inter-location transfer policy that participates to satisfy the service level constraints and to determine the approximate replenishment quantities. To achieve these objectives we propose:(1) a new transshipment model based on the chance constrained programming,(2) a two-step transshipment policy that differs from classic ones by product transfer from locations in need to others also in need and (3) a hybrid algorithm based on fuzzy simulation and genetic algorithms to approximate replenishment quantities.

  • Mohamed Hmiden, Lamjed Ben Said, Khaled Ghedira

    Transshipment problem with uncertain customer demands and transfer lead time

    In 2009 International Conference on Computers & Industrial Engineering (pp. 476-481). IEEE., 2009

    Résumé

    This paper deals with the transshipment problem characterized by the uncertainty relative to customer demands and transfer lead time. We consider a distribution network of one supplier and N locations selling an innovative product. The customer demands and the transfer lead time are evaluated based on expert judgments and they are consequently represented by fuzzy sets. Our aims in this work are: (1) to identify a transshipment policy that takes into account the fuzziness of customer demands and transfer lead times and (2) to determine the approximate replenishment quantities which minimize the total inventory cost. In order to achieve these aims, we propose a new transshipment policy where the transshipment decision is made within the period and the possible transshipment decision moments belong to a fuzzy set. We consider the decision maker behavior types (pessimistic and optimistic) to determine the precise transshipment decision moment and the transshipment quantity. We propose a hybrid algorithm based on fuzzy simulation and genetic algorithm to approximate the optimal replenishment quantities.

  • Mohamed Hmiden, Lamjed Ben Said, Khaled Ghédira

    Multi-agent Simulation for the transshipment problem with a non-negligible transfer lead times and a limited transportation mean capacity

    Wirtschaftinformatik Proceedings 2007, 92, 2007

    Résumé

    We consider a supply chain consisting of n locations replenished at the beginning of each period
    by a supplier. These locations may coordinate in order to balance their inventory level through
    transshipment. Transshipment is the items transfer from location having an inventory excess to
    another in need. The transshipment problem consists to determine the initial inventory level
    where a transshipment policy is practiced. In this work, we consider the transshipment problem
    characterized by a non-negligible transshipment lead times and a limited transportation mean
    capacity. Our aim is to find a transshipment policy that reduces the inventory costs and improve
    the customer fill-rates. To realize this aim, we proposed a new formal transshipment model in
    which the period is divided into a set of sub-periods and the transshipment decision is made at
    the end of one of them. We also introduced a multi-agent model allowing to simulate the
    cooperated behavior of the inventory locations.