Joaquim Jorge da Costa Máximo Vicente

@ulisboa.pt

CEG-IST Centre for Management Studies, Instituto Superior Técnico
Instituto Superior Técnico, Universidade de Lisboa

RESEARCH INTERESTS

Supply Chain Management
Operations Management
Logistics Management

6

Scopus Publications

Scopus Publications

  • Distribution and inventory planning in multi-echelon supply chains under demand uncertainty
    Ana Barbosa Póvoa, Susana Relvas, and Joaquim Jorge Vicente

    Inderscience Publishers

  • Supply chain management under product demand and lead time uncertainty
    Joaquim Jorge Vicente, Susana Relvas, and Ana Paula Barbosa Póvoa

    Inderscience Publishers

  • Effective bullwhip metrics for multi-echelon distribution systems under order batching policies with cyclic demand
    Joaquim Jorge Vicente, Susana Relvas, and Ana Paula Barbosa-Póvoa

    Informa UK Limited
    A large number of problems in a distribution supply chain require that decisions are made in the presence of the bullwhip effect phenomenon. The impact of the order batching policies on the bullwhip effect is analysed in this paper, when cycle demand on a multi-echelon supply chain operating is considered. While investigating which bullwhip effect metrics are more adequate to measure the bullwhip effect in these type of systems, the optimal reordering plan that minimises the operation costs of the overall system is calculated. A Mixed Integer Linear Programming (MILP) model is developed that takes into account an inventory and distribution system formed by multiple warehouses and retailers with lateral transshipments. The bullwhip effect is measured through four metrics: the echelon average inventory; the echelon inventory variance ratio; the echelon average order; and the echelon order rate variance ratio. As conclusion the inventory metrics suggest that (i) using batching policy reduces instability; (ii) batching may reduce in general order variance if using larger batches and (iii) cycle demand length has no major impact in the bullwhip effect. A motivational example and a real word case study are used and tested.

  • Bullwhip effect metrics for multi-echelon systems under order batching policies with cyclic demand
    Joaquim Jorge Vicente, Susana Relvas, and Ana Paula Barbosa-Povoa

    IEEE
    This paper analyzes how order batching policies impact on the bullwhip effect over a multi-echelon distribution supply chain facing cyclic demand. As a demand cycle is repeated over the time planning horizon, a wrapping around operator is considered and based on this a single cycle is required to represent the real problem. The problem consists on determining the optimal reordering plan, which minimizes the overall system operational costs while investigating which bullwhip measures are more adequate to control such type of systems. A mixed integer linear programming model is developed, which considers a multi-echelon inventory/distribution system formed by N-warehouses and M-retailers with lateral transshipments among warehouses and among retailers. A case study based on a real retailer distribution chain are presented and solved.


  • Distribution Supply Chain Inventory Planning under Uncertainty
    Joaquim Jorge Vicente, Susana Relvas, and Ana Paula Barbosa-Póvoa

    Springer International Publishing