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Purpose: The actual market characteristic oriented toward customers’ requirements compels decision-makers to foresee customization abilities. Mass customization represents a valuable approach to combine customizable offers with mass production processes. From a supply chain standpoint, this paper attempts to develop an integrated procurement, production and distribution modeling to describe the generated framework structure formulation within tactical decision planning level.Design/methodology/approach: The paper provides a mixed integer linear programming model of a three echelon supply chain illustrated from the automotive industry with (a) customers: Original Equipment Manufacturers (OEMs) identified as leaders and (b) first-tier supplier: wiring harnesses manufacturer (c) second-tier supplier: raw material supplier, identified as followers. The model formulation is depicted through dyadic relationships between stakeholders considering the specific operation enablers of the environment such as make to order, modular approach in addition to the corresponding inventory management policy.Findings: The integrated model is solved by an exact method which illustrates the feasibility of the formulation in addition to the observance of the applied constraints. A sensitivity analysis is performed to highlight the interdependency across some key parameters to provide managerial insights within the studied framework while keeping the optimal solvability of the model.Research limitations/implications: The limitation of this study is the computational experiment study. An extensive experiment with a real-word case will outline the optimal solvability status of the exact method and the necessity for a performance benchmark through the approximate solving approaches.Originality/value: The present research aims to contribute as first studies toward mathematical modeling for supply chain decision planning endeavor operating within mass customization business model.

In supply chain management, accurate demand prediction is a crucial issue that can decrease the inventory cost and obtain the desired service level. The purpose of this paper is to highlight some prediction models used on market demand forecasting and Performance measures employed for choosing the optimal model.

The market environment tends toward satisfying customer individual needs. In this scope, product customization is an appropriate approach to foresee a customer focus which has a development ability besides mass production toward mass customization concept in order to outfit customers’ product specifications for a mass market. This article develops a tactical integrated procurement, production and distribution deterministic model of a 3-echelon supply chain within mass customization context according to Leader and Followers tradeoffs. A case study from the automotive industry is proposed to emphasize the operations’ schemes within a business process driven by the customer that involve: (a) Original Equipment Manufacturer, identified as Leader (Upper level) and (b) First-tier Supplier: Wiring Harnesses Manufacturer (c) Second-tier Supplier: Raw Material supplier, identified as followers (Lower level). Findings from this study highlight the customization background that lead to product variety management strategy and mass customization link and provide an integrated operations management framework within a manufacturing overview arises from partner’s interdependency network with dyadic relationships interfaces.

The distribution of goods from suppliers to customers plays an important role in the supply chain. In this paper, the approach of Demand Driven Distribution Resource Planning is proposed in order to optimize the distribution flow in the supply chain. We follow a methodology of presenting the problem of variability, then pointing at the solutions in the literature, among them DRP, and finally giving the proposed model. The purpose is to manage the amplification of the demand Variability, while improving the traditional Distribution Resource Planning. A literature review is presented about the impact of variability on distribution flow, and the solutions proposed in this context. Then, a general study of distribution industries is investigated in order to apply the Demand Driven model; we show the buffer positioning in the distribution network, and the profile and levels for these buffers. After the dynamic adjustment, we present the Demand Driven Planning and the execution based on the net flow equation. The results discuss the approach and the steps of the implementation in the distribution industry.

the Green Supply Chain Management (GSCM) is one the key concepts that organizations need to implement in order to reduce the environmental impact of their activities due to the increase of environmental awareness. However, its implementation is full of constraints in terms of the coordination and collaboration between all stakeholders. Therefore, many GSCM models and frameworks, like the multi agent systems (MAS) are proposed to reduce the complexity level in the Supply Chain. The main objective of this paper is to study the multi agent systems usage for GSCM modelling. The used research methodology is based on a literature review of 50 articles published between 2012 and 2019 in 10 different journals. 5 articles are selected out of 50 because of their accordance with the research subject. The contribution of this paper is to show the benefits of using multi agents systems for GSCM modelling problems.

This paper proposes a new modeling approach to model the medicines supply chain in Morocco and risks associated with this chain from needs identification to the medicines distribution within care u...

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.

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