Pierre Fenies

A decisional modeling for network franchise and supply chain management

This article offers a modeling process that is aimed to evaluate and optimize logistics and financial flows in franchise networks. The proposed modeling consists in a combination of two modeling processes: the first reproduces the running logistic network through simulation and/or optimization; then data given by this model are used by a model that reproduces consequences on the mixed franchise network through a MILP (Mixed Integer Linear Programming) optimization based on the four Bradach management challenges: network growth, outlets uniformity, local responsiveness and system-wide adaptation. Applied to three networks types, the modeling process confirms that a combination of company-owned outlets and franchised outlets is the best way to manage the networks growth but also shows that the mix rate can be different between different type of networks.

Scheduling of open-pit phosphate mine extraction

Open-pit deposits are often characterised by a stack of layers of different geological nature. Some layers are worthless while the ore of the others is of a varying economic value depending on grade. To reach a layer, it is necessary to have first removed the upper layers above the extraction zone. This action results in uncovering the layer in this particular place and in facilitating access to the layers below. This extraction process involves a series of 2–7 basic operations; each one is performed by a machine, some of which are able to perform up to three different operations. Ensuring the consistency of mining extraction scheduling over a few months, in order to meet known or forecast demand, is a challenging task. A mining extraction model based on mathematical programming is proposed but it is hardly usable, due to its size. Therefore, a model based on a Discrete Event Simulation, is created to test how ore supplies are affected by the tactical and operational decisions relating to the choice of parcels to be processed and to the allocation of machines to the different basic operations.

Design of Hybrid Multimodal Logistic Hub Network with Postponement Strategy.

This paper suggests a method allowing to design a hybrid logistic hub network in the context of mass customization, postponement being performed in hubs having industrial capabilities in addition to logistic ones. We propose a two-stage mathematical mixed integer linear programming model for: (1) logistic hub network design (2) postponement location in the designed network. The suggested model manages characteristics not yet taken into account simultaneously in the literature: hierarchical logistic structure, postponement strategy, multi-commodity, multi-packaging of goods (raw materials or components vs. final products), multi-period planning. The solutions are compared through service level and logistic costs.

Traceability and transaction governance: a transaction cost analysis in seafood supply chain

ABSTRACT Almost all Vietnamese seafood companies use paper-based traceability systems. Small-scale characteristics of the fisheries industry have affected the way in which seafood firms manage transactions in their supply chains. The implementation of traceability systems leads to an increase in asset specificity (71%), a decrease in transaction uncertainty (60%) and low variation in the frequency of transactions (7%). The introduction of traceability has also increased transaction costs (information costs, negotiating costs, system management costs and control supplier activity costs). Price incentives, purchasing and production rule enforcement and liability serve as proxies for the vertical relationship, which has shown an increase in variation.

General Use of the Routing Concept for Supply Chain Modeling Purposes: The Case of OCP S.A.

This paper proposes a modelling and formalizing approach to fieldwork-collected data in order to develop a set of tools to both direct and increase industrial production. The OCP (“Cherifian Office of Phosphate”) provided authentic data for the construction and use of an inductive approach. This approach enabled us not only to give details about the problems encountered but also to have the necessary level of granularity required for a number of ex ante management decisions. Several instances of the suggested modelling applications are given in the real context of the OCP’s supply chain reengineering. They equally allow the reader to obtain a feedback on the implementation of a twofold modelling generated by a unique collection of knowledge.

A Multiple Modeling for a Health Care Supply Chain: A Case Study with Clermont-Ferrand Public Dental Hospital

This article deals with the reorganization of a French dental care hospital using a modeling approach with multiple incremental processes. The contribution is original in its dual approach to management science and engineering. The work reflects a double complexity – algorithmic and systemic – in the implementation of tools for the hospital supply chain; it also presents a method for diagnosing a number of malfunctions and solutions. For this purpose, several formal multi-criteria models have been used. The results they show can subsequently help the emergence of a constructive dialogue among the various stakeholders of the dental hospital chain to facilitate its reorganization.

From Advanced Planning System to Advanced Budgeting System: The Next Step in Supply Chain Management Software

The forward physical flow (purchase of materials, transformations of the raw materials into products, delivery of the products). The physical flow optimization aims to satisfy the final customers. The backward financial flow which circulates in a discontinuous way. The financial flow optimization is made in a local way, in each supply chain link, but seldom in a global way. The financial flow optimization (Badell et al., 2005) will make possible the shareholders satisfaction and the supply chain working improvement. The backward information flow which allows the coordination of financial and physical flow between each node, and the global supply chain coordination.