Analysis of Buffer techniques in Lean distribution and theory of constraints in a distribution context

The current era of globalization is characterized by a growing dynamic change in all areas of social and economic life. This ever growing competition is necessary to address the manager to achieve higher performance and efficiency. One of these areas that has an important focus by managers is the distribution side in supply chain. The purpose is to smooth the flow of goods in the distribution network, in order to improve throughput, reduce inventory and make economic profits. In this context, Lean operations and theory of constraints are comprehensive philosophies that have a considerable contribution. This work concentrate on the concept of "buffering" in these approaches and discusses – based on it - the assessment of a new model in distribution networks. The results are about the guidelines of applying buffer management techniques in distribution, putting the first overview of a new model concerning the optimization of flow in distribution networks

Solving economic dispatch and unit commitment problem in smart grid system using eagle strategy based crow search algorithm

The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. The Unit commitment problem (UCP) is mainly finding the minimum cost schedule to a set of generators by turning each one either on or off over a given time horizon to meet the demand load and satisfy different operational constraints. This research article integrates the crow search algorithm as a local optimizer of Eagle strategy to solve economic dispatch and unit commitment problem in smart grid system

Economic and emission dispatch using cuckoo search algorithm

The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. This paper proposes the use of Cuckoo Search Algorithm (CSA) for solving the economic and Emission dispatch. The effectiveness of the proposed approach has been tested on 3 generator system. CSA is a new meta-heuristic optimization method inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species.The results shows that performance of the proposed approach reveal the efficiently and robustness when compared results of other optimization algorithms reported in literatur

Ontology for Risks in Medicines Supply Chain: Case of Public Hospitals in Morocco

For the supply system of medicines in public hospitals in Morocco, ontology is a solution that will improve understanding between actors, promoting information dissemination and their exploitation and promote a new approach to designing information systems. However, implementation of such an approach requires close collaboration between the various partners and requires an intensive exchange of data between them. These technical data must be transmitted, interpreted, managed, reused and stored in a consistent and standardized way. In this work, we developed an ontology using the OWLGRed tool from a UML model whose objective is risk management in the medicines supply chain in Morocco, principally in the public hospitals that supply itself in a centralized way through the supply division which handles the purchase, storage and distribution of pharmaceuticals in these institutions

L’intégration et la gouvernance des supply chains dans le contexte marocain

National audienc

Application of ECOGRAI/BSC method for controlling logistic performance: Case of a Moroccan clothing company

International audienceLogistic performance measurement and management have always been a major concern for enterprises. The Balance Score Card (BSC) is one of the most used tools of performance management. This article explores a conceptual basis for understanding the development of a BSC oriented logistic performance using the ECOGRAI method. The first aim of our contribution is to present the method ECOGRAI/BSC in order to improve logistic performance whereas the second is to provide a methodology for implementing this method in enterprises via a case study of a clothing company

Integrated Production and Distribution in Milk Supply Chain under Uncertainty with Hurwicz Criterion

In this paper, we propose a credibility-based fuzzy mathematical programming model for integrating the production and distribution in milk supply chain under uncertainty. The proposed model is a mixed integer linear programming, which takes into account technological constraints and aims to maximize the total profit including the total costs such as production, storage, and distribution. To bring the model closer to real-world planning problems, the objective function coefficients (e.g. production cost, inventory holding and transport costs) and other parameters (e.g., demand, production capacity, and safety stock level), are all considered fuzzy numbers. In the uncertain environment, the most known criteria widely employed are optimistic and pessimistic value criterions. Both criteria present some deficiency. For the optimistic criterion, it suggests an audacious who is attracted by high payoffs (low cost), while for the pessimistic criterion, it suggests a conservative decision-maker who tries to make sure that in the case of an unfavorable outcome (loss), there is at least (in most) a known minimum payoff (loss maximum). To overcome these problems, the Hurwicz criterion is used for the concerned problem. By varying the value of θ, it can balance the optimistic and pessimistic levels of the decision makers. Moreover, the different property of the credibility measure is used to build the crisp equivalent model, which is a MILP model that can solve, by using a commercial solver such as GAMS. Finally, numerical results are reported for a real case study to demonstrate the efficiency and applicability of the proposed model

Ontology for Risks in Medicines Supply Chain: Case of Public Hospitals in Morocco

For the supply system of medicines in public hospitals in Morocco, ontology is a solution that will improve understanding between actors, promoting information dissemination and their exploitation and promote a new approach to designing information systems. However, implementation of such an approach requires close collaboration between the various partners and requires an intensive exchange of data between them. These technical data must be transmitted, interpreted, managed, reused and stored in a consistent and standardized way. In this work, we developed an ontology using the OWLGRed tool from a UML model whose objective is risk management in the medicines supply chain in Morocco, principally in the public hospitals that supply itself in a centralized way through the supply division which handles the purchase, storage and distribution of pharmaceuticals in these institutions

L’intégration et la gouvernance des supply chains dans le contexte marocain

National audienc