Ridha Derrouiche

Supply chain management: a framework to characterize the collaborative strategies

The current intense competition forces enterprises to pay attention to supply chain collaboration with their upstream and downstream partners. Different collaborative strategies such as quick response (QR), efficient consumer response (ECR), vendor managed inventory (VMI) or collaborative planning, forecasting and replenishment (CPFR) have already been proposed. The key to ensuring that the supply chain partners are progressing on the right track of creating the best-in-class practice lays in their ability to choose the appropriate strategy. The current paper proposes a framework, based on analysis grids and graphical representations, which help to better characterize these strategies. The analysis grids use several characterization criteria to express the collaboration nature and its extent. For a better understanding, this framework is then applied to the CPFR strategy.

B2B relationship management: a framework to explore the impact of collaboration

This article aims to propose an integrated framework, based on two levels, able to characterise collaborative relation between two or more partners in a supply chain, evaluating their related performances. In the first level, related to the context point of view, the most common parameters, identified from a literature review, characterising a relationship between two partners, have been used to build an integrated analysis framework. The second level is related to the performance side and has been achieved through two main attributes: the perceived satisfaction of the relation and its perceived effectiveness. The implementation of the approach has been achieved through a survey of different companies, so as to propose a first analysis on how the characteristics of a relation impact its performance. A new dashboard is considered as an operative tool of the proposed approach, which allows to follow all the attributes which best characterise each relation type, as well as the sensitivity of the perceived performance for each attribute.

Pooling Supply Chain: literature review of collaborative strategies

To support companies in collaborative supply chain, new strategies have been set up and developed in the past years. In this context, the first aspect of this paper is to provide an overview of these different collaborative strategies either in vertical or horizontal level. We further develop literature-based constructs for both types of collaboration. After this large-scale survey this paper proposes a conceptual framework for pooling supply chain as an horizontal collaborative logistic strategy. Moreover, our objective is to highlight the link between horizontal collaborative logistic and sustainable development, to show that the strategy of pooling supply chain can achieve the goals of sustainable development, namely, the environmental, economic and societal objectives

Value creation through collaborative supply chain: holistic performance enhancement road map

This paper proposes an integrated novel framework between B2B-SCM using data mining techniques such as K-Means based on particle swarm intelligence (particle swarm optimisation) and association rule. It constructs relationship rules of holistic performance enhancement road map. The data-set of relationships between enterprise and its direct customers of the case study organisations in France was used for demonstration. The experiment results show how domain managers powerfully utilise the graphical analysis results to provide the holistic performance improvement and weakness resolution relationship rules. In the long run, organisations are able to use this framework to design and adjust their units to conform the exact customer needs. This paper introduces and explains a new idea of measuring value added along the supply chain from a collaborative perspective. The extended model is adapted from our previous model and from balanced scorecard model. It provides a tool to measure tangible and intangible value between partners.

Modeling a Logistics Pooling Strategy for Agri-Food SMEs

This paper presents an innovative approach to improve sustainability of logistics pooling strategy by reducing CO2 emissions and social incidents. Our approach aims to increase the collaborative network efficiency in the context of agri-food SMEs. The combination of discrete event simulation and analytical optimization approaches enables to analyze different pooling scenarios and to optimize pooled distribution network. The developed model takes into account the specificities of agri-food SMEs flows. The thereby improved utilization of logistics resources impacts economic and ecological and societal performance indicators.

A Comparison of Homogeneous and Heterogeneous Vehicle Fleet Size in Green Vehicle Routing Problem

To balance a fragmented logistics organization, Small and Medium Enterprises have to find collective solutions to decrease their environmental impact. Especially when the demand at each producer takes the form of small packages and low quantities this paper examines the effect of the introduction of a consolidation center on the environmental issue. Therefore, the Fleet Size and Mix Vehicle Routing Problem (FSMVRP) was adapted in order to minimize CO2 emission. An exact mathematical formulation of the extended problem was developed to investigate the difference between homogeneous and heterogeneous fleet size on the environmental issue. Computational experiments for the problem formulation are performed using CPLEX and give a solution of a small instance to illustrate the problem. A case study focuses on optimal parcel picking up, from many producers to a common depot in the agri-food sector.

Parameterisation of the MRP method: automatic identification and extraction of properties

The overall context of this paper is the parameterisation of the material requirement planning method. It is crucial to be able to evaluate the potential effects of the parameters on the production system’s performance indicators (PI). This evaluation is generally the result of the combination of an experimental design with a production system simulator. This paper proposes an approach facilitating the interpretation of the effects of the experimental design method. The specific feature of our approach is that it proposes the classification of the effects as a model for the automatic identification and extraction of the properties. These characterise the relations between the parameters and the PI.

Predictive performance model in collaborative supply chain using decision tree and clustering technique

This paper proposes an integrated framework between B2B supply chains (B2B-SC) and performance evaluation systems. This framework is based on data mining techniques, enabling the development of a predictive collaborative performance evolution model and decision making which has forward-looking collaborative capabilities. The results are deployment for collaborative performance guidelines, which were validated by the domain experts in terms of its real practical usage efficiency. This framework enables managers to develop systematic manners to predict future collaborative performance and recognize latent problems in their relationship. Its usages and difficulties were also discussed. Furthermore, the final predictive results and rules contain vital information relating to SC improvement in the long term.

Machine Learning Agents in the Cloud to Support Smart Business Process Management

In Virtual Enterprise, Business Processes Management is regarded as one of the most concerns of managers and academic researchers. Managing flows complexity and actors requirements in terms of high quality in less time, make this management more and more complex and push specialists to explore new promising ways. Like these researchers, we present in this paper, a modelling and simulating software toolkit called BP-EMC2 based on a generic framework baptized H-BPM. We propose a solution using machine learning agents operating in an AGR (Agent-Group-Role) organization within the Cloud. Furthermore, this paper includes a real case study of Adecco® business process deployed into its Cloud solution.

Integration of Social Concerns in Collaborative Logistics and Transportation Networks

Freight transport optimization, long based solely on an economic approach, happen today through the integration of environmental and/or social concerns, in line with the objectives of sustainable development. In the case of Small and Very Small Enterprises, these objectives cannot be reached individually, and these companies have to join their efforts to find collective solutions. Therefore, the Fleet Size and Mix Vehicle Routing Problem (FSMVRP) was adapted to take into account social objectives, and results are compared to Vehicle Routing Problem with homogeneous fleet. An exact mathematical formulation of the extended problem was developed. Computational experiments for the problem formulation are performed using CPLEX and give a solution of a small instance to illustrate the problem. The model is tested on a case study of optimal parcel pickup, from many manufacturers to a common depot in the agri-food sector.