International Journal of Production Management and Engineering - Vol 05, No 2 (2017)

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Papers

  • Vehicle Routing and Scheduling Problem for a multi-period, multi-perishable product system with time window: A Case study
  • A Column Generation for the Heterogeneous Fixed Fleet Open Vehicle Routing Problem
  • Approach of the Two-way Influence Between Lean and Green Manufacturing and its Connection to Related Organisational Areas
  • Stochastic multi-period multi-product multi-objective Aggregate Production Planning model in multi-echelon supply chain
  • Aligning Organizational Pathologies and Organizational Resilience Indicators

URI permanente para esta colecciónhttps://riunet.upv.es/handle/10251/89976

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  • Miniatura
    Item type: Artículo , Access status: Abierto ,
    Aligning Organizational Pathologies and Organizational Resilience Indicators
    (Universitat Politècnica de València, 2017-07-28) Morales Allende, Manuel; Ruiz-Martin, Cristina; Lopez-Paredes, Adolfo; Perez Ríos, Jose Manuel; Banco Santander; Universidad de Valladolid
    [EN] Developing resilient individuals, organizations and communities is a hot topic in the research agenda in Management, Ecology, Psychology or Engineering. Despite the number of works that focus on resilience is increasing, there is not completely agreed definition of resilience, neither an entirely formal and accepted framework. The cause may be the spread of research among different fields. In this paper, we focus on the study of organizational resilience with the aim of improving the level of resilience in organizations. We review the relation between viable and resilient organizations and their common properties. Based on these common properties, we defend the application of the Viable System Model (VSM) to design resilient organizations. We also identify the organizational pathologies defined applying the VSM through resilience indicators. We conclude that an organization with any organizational pathology is not likely to be resilient because it does not fulfill the requirements of viable organizations.
  • Miniatura
    Item type: Artículo , Access status: Abierto ,
    Stochastic multi-period multi-product multi-objective Aggregate Production Planning model in multi-echelon supply chain
    (Universitat Politècnica de València, 2017-07-28) Khalili-Damghani, Kaveh; Shahrokh, Ayda; Pakgohar, Alireza
    [EN] In this paper a multi-period multi-product multi-objective aggregate production planning (APP) model is proposed for an uncertain multi-echelon supply chain considering financial risk, customer satisfaction, and human resource training. Three conflictive objective functions and several sets of real constraints are considered concurrently in the proposed APP model. Some parameters of the proposed model are assumed to be uncertain and handled through a two-stage stochastic programming (TSSP) approach. The proposed TSSP is solved using three multi-objective solution procedures, i.e., the goal attainment technique, the modified ε-constraint method, and STEM method. The whole procedure is applied in an automotive resin and oil supply chain as a real case study wherein the efficacy and applicability of the proposed approaches are illustrated in comparison with existing experimental production planning method.
  • Miniatura
    Item type: Artículo , Access status: Abierto ,
    Approach of the Two-way Influence Between Lean and Green Manufacturing and its Connection to Related Organisational Areas
    (Universitat Politècnica de València, 2017-07-28) Salvador, Rodrigo; Piekarski, Cassiano Moro; Francisco, Antonio Carlos de
    [EN] Initiatives toward Lean and Green Manufacturing are given mainly due to organisational response to current market’s economic and environmental pressures. This paper, therefore, aims to present a brief discussion based on a literature review of the potential two-way influence between Lean and Green Manufacturing and its role on the main organisational areas with a closer relationship to such approaches, which were observed to be more extensively discussed in the literature. Naturally lean practises seem more likely to deploy into green outcomes, though the other way around can also occur. There is some blur on the factual integration of both themes, as some authors suggest. Notwhithstanding, they certainly present certain synergy. Thereupon, further research is needed to unveil the real ties, overlaps and gaps between these approaches.
  • Miniatura
    Item type: Artículo , Access status: Abierto ,
    A Column Generation for the Heterogeneous Fixed Fleet Open Vehicle Routing Problem
    (Universitat Politècnica de València, 2017-07-28) Yousefikhoshbakht, Majid; Dolatnejad, Azam
    [EN] This paper addressed the heterogeneous fixed fleet open vehicle routing problem (HFFOVRP), in which the vehicles are not required to return to the depot after completing a service. In this new problem, the demands of customers are fulfilled by a heterogeneous fixed fleet of vehicles having various capacities, fixed costs and variable costs. This problem is an important variant of the open vehicle routing problem (OVRP) and can cover more practical situations in transportation and logistics. Since this problem belongs to NP-hard Problems, An approach based on column generation (CG) is applied to solve the HFFOVRP. A tight integer programming model is presented and the linear programming relaxation of which is solved by the CG technique. Since there have been no existing benchmarks, this study generated 19 test problems and the results of the proposed CG algorithm is compared to the results of exact algorithm. Computational experience confirms that the proposed algorithm can provide better solutions within a comparatively shorter period of time.
  • Miniatura
    Item type: Artículo , Access status: Abierto ,
    Vehicle Routing and Scheduling Problem for a multi-period, multi-perishable product system with time window: A Case study
    (Universitat Politècnica de València, 2017-07-28) Rashidi Komijan, Alireza; Delavari, Danial
    [EN] The well-known Vehicle Routing Problem (VRP) is to find proper sequence of routes in order to minimize transportation costs. In this paper, a mixed-integer programming model is presented for a food distributer company and the model outputs are to determine the optimal routes and amount of pickup and delivery. In the objective function, the costs of transportation, holding, tardiness and earliness are considered simultaneously. The proposed model with respect to real conditions is multi-period and has two different time periods: one for dispatching vehicles to customers and suppliers and the other for receiving customers’ orders. Time window and split pickup and delivery are considered for perishable products. The proposed model is nonlinear and will be linearized using exact techniques. At the end, model is solved using GAMS and the sensitivity analysis is performed. The results indicate that the trend of changes in holding and transportation costs in compared to tardiness and earliness costs are closed together and are not so sensitive to demand changes.