PLM for Supply Chain Optimization

Technological advances in science and technology information and communication in recent years have completely changed the way the enterprise functions. It works toward a collaborative relationship between the different partners of its supply chain. Thus, enterprises need to exploit the benefits of integrating supply chain actors and information sharing to improve their performances. This has led to the development of a collaborative product lifecycle management commonly known as PLM. The objective of this chapter is to propose a decision support tool based on PLM for supply chain optimization. Through this work, we conciliate two scientific communities: the one dedicated to PLM and the one relating to the problems relating to supply chain optimization

Supply chain management 4.0: a literature review and research framework

This article presents a review of the existing state-of-the-art literature concerning Supply Chain Management 4.0 (SCM 4.0) and identifies and evaluates the relationship between digital technologies and Supply Chain Management. A literature review of state-of-the-art publications in the subject field and a bibliometric analysis were conducted. The paper identifies the impact of novel technologies on the different supply chain processes. Furthermore, the paper develops a roadmap framework for future research and practice. The proposed work is useful for both academics and practitioners as it outlines the pillar components for every supply chain transformation. It also proposes a range of research questions that can be used as a base to guide the future research direction of the field. This paper presents a novel and original literature review-based study on SCM4.0 as no comprehensive review is available where bibliometric analysis, motivations, barriers and technologies’ impact on different SC processes have been considered

Towards supply chain optimization : proposition of conceptual models based on PLM (Product Lifecycle Management)

Consciente que l’unité de compétitivité n’est plus l’entreprise mais toute la chaîne logistique contribuant à la réalisation du produit, les efforts consentis par l’entreprise se matérialisent, d’une part, par la volonté de maîtriser au mieux les activités de conception des produits et d’autre part, par la construction de collaborations entre tous les acteurs de la chaîne logistique participant au cycle de vie du produit. Cela a conduit à l’émergence d’une gestion collaborative du cycle de vie du produit appelée communément PLM. L’objet de cette thèse consiste à définir une démarche méthodologique pour répondre à la problématique suivante : Comment le PLM pourra t-il participer à l’optimisation de la chaîne logistique ? Nous adoptons, dans cette thèse, une approche hybride combinant PLM et modèles mathématiques pour optimiser les décisions de conception simultanée du produit et de sa chaîne logistique. Nous proposons des modèles conceptuels pour résoudre de manière formelle le compromis entre PLM et modèles mathématiques pour une optimisation de la chaîne logistique. Contrairement aux approches classiques centralisées utilisées pour traiter le problème intégré de conception du produit et de sa chaîne logistique et qui engendrent des modèles mathématiques compliqués, nous adoptons une démarche couplant des décisions centralisées quand il s’agit d’intégrer les contraintes des différents maillons de la chaîne logistique et une approche décentralisée quand il s’agit d’optimiser localement chaque maillon de la chaîne. Le mode décentralisé réduit la complexité de résolution des modèles mathématiques et permet à la chaîne logistique de répondre rapidement à l’évolution des conditions locales de chaque maillon. Le PLM joue le rôle d’intégrateur. En effet, le regroupement centralisé des informations par le PLM permet de prendre en considération la dépendance entre les maillons améliorant ainsi les résultats obtenus par optimisation locale.AIt is recognized that competition is shifting from “firm versus firm” perspective to “supply chain versus supply chain” perspective. Therefore, the ability to optimize the supply chain is becoming the critical issue for companies to win the competitive advantage. Furthermore, all members of a given supply chain must work together to respond to the changes of market demand rapidly. In the actual context, enterprises not only must enhance their relationships with each others, but also need to integrate their business processes through product life cycle activities. This has led to the emergence of a collaborative product lifecycle management commonly known as PLM. The objective of this thesis is to define a methodological approach which answers to the following problematic: How can PLM contribute to supply chain optimization ? We adopt, in this thesis, a hybrid approach combining PLM and mathematical models to optimize decisions for simultaneous design of the product and its supply chain. We propose conceptual models to solve formally the compromise between PLM and mathematical models for supply chain optimization. Unlike traditional centralized approaches used to treat the problem of integrated design of the product and its supply chain which generate complex mathematical models, we adopt an approach combining centralized decisions while integrating the constraints of the different supply chain partners during the product design and decentralized decisions when it comes to locally optimize each supply chain partner. The decentralized approach reduces the complexity of solving mathematical models and allows the supply chain to respond quickly to the evolution of local conditions of each partner. PLM will assure the integration of the different supply chain partners. Indeed, the information centralization by the PLM enables to take into consideration the dependence between these partners, improving therefore local optimization results

Vers une optimisation de la chaine logistique : proposition de modèles conceptuels basés sur le PLM (Product Lifecycle Management)

AIt is recognized that competition is shifting from “firm versus firm” perspective to “supply chain versus supply chain” perspective. Therefore, the ability to optimize the supply chain is becoming the critical issue for companies to win the competitive advantage. Furthermore, all members of a given supply chain must work together to respond to the changes of market demand rapidly. In the actual context, enterprises not only must enhance their relationships with each others, but also need to integrate their business processes through product life cycle activities. This has led to the emergence of a collaborative product lifecycle management commonly known as PLM. The objective of this thesis is to define a methodological approach which answers to the following problematic: How can PLM contribute to supply chain optimization ? We adopt, in this thesis, a hybrid approach combining PLM and mathematical models to optimize decisions for simultaneous design of the product and its supply chain. We propose conceptual models to solve formally the compromise between PLM and mathematical models for supply chain optimization. Unlike traditional centralized approaches used to treat the problem of integrated design of the product and its supply chain which generate complex mathematical models, we adopt an approach combining centralized decisions while integrating the constraints of the different supply chain partners during the product design and decentralized decisions when it comes to locally optimize each supply chain partner. The decentralized approach reduces the complexity of solving mathematical models and allows the supply chain to respond quickly to the evolution of local conditions of each partner. PLM will assure the integration of the different supply chain partners. Indeed, the information centralization by the PLM enables to take into consideration the dependence between these partners, improving therefore local optimization results.Consciente que l’unité de compétitivité n’est plus l’entreprise mais toute la chaîne logistique contribuant à la réalisation du produit, les efforts consentis par l’entreprise se matérialisent, d’une part, par la volonté de maîtriser au mieux les activités de conception des produits et d’autre part, par la construction de collaborations entre tous les acteurs de la chaîne logistique participant au cycle de vie du produit. Cela a conduit à l’émergence d’une gestion collaborative du cycle de vie du produit appelée communément PLM. L’objet de cette thèse consiste à définir une démarche méthodologique pour répondre à la problématique suivante : Comment le PLM pourra t-il participer à l’optimisation de la chaîne logistique ? Nous adoptons, dans cette thèse, une approche hybride combinant PLM et modèles mathématiques pour optimiser les décisions de conception simultanée du produit et de sa chaîne logistique. Nous proposons des modèles conceptuels pour résoudre de manière formelle le compromis entre PLM et modèles mathématiques pour une optimisation de la chaîne logistique. Contrairement aux approches classiques centralisées utilisées pour traiter le problème intégré de conception du produit et de sa chaîne logistique et qui engendrent des modèles mathématiques compliqués, nous adoptons une démarche couplant des décisions centralisées quand il s’agit d’intégrer les contraintes des différents maillons de la chaîne logistique et une approche décentralisée quand il s’agit d’optimiser localement chaque maillon de la chaîne. Le mode décentralisé réduit la complexité de résolution des modèles mathématiques et permet à la chaîne logistique de répondre rapidement à l’évolution des conditions locales de chaque maillon. Le PLM joue le rôle d’intégrateur. En effet, le regroupement centralisé des informations par le PLM permet de prendre en considération la dépendance entre les maillons améliorant ainsi les résultats obtenus par optimisation locale

Modèle PLM (Product Lifecycle Management) à base de systèmes multi-agents

International audienceConsciente que l'unité de compétitivité n'est plus l'entreprise mais toute la chaîne logistique contribuant à la réalisation du produit, l'entreprise cherche d'une part, à maîtriser au mieux les activités de conception des produits et d'autre part, à construire des collaborations entre tous les acteurs de la chaîne logistique participant au cycle de vie du produit. Cela a conduit à l'émergence d'une gestion collaborative du cycle de vie du produit appelée communément PLM. Nous présentons dans cet article un modèle PLM pour la gestion des informations du produit tout au long du cycle de vie du produit et intégrant les différents acteurs de la chaîne logistique. Nous proposons une modélisation basée sur un système multi agents assurant la communication et la coordination entre les différents agents.</p

PLM (Product Lifecycle Management): a key to manage supply chain complexity

International audienceThe ability to optimize the supply chain is becoming the critical issue for companies to win the competitive advantage. Furthermore, all members of a given supply chain must work together to respond to the changes of market demands rapidly. PLM enables a supply chain to become much more competitive by an effective collaboration among customers, developers, suppliers and manufacturers at various lifecycle stages of a product. Our work contributes to the field of integrated engineering, specifically the integrated logistics in the early phases of the product lifecycle using PLM. The supply chain is a complex system and like any complex system, solutions are found by compromise. In this paper, we proposed conceptual models to solve formally the compromise between PLM and mathematical models to optimize the supply chain. With the proposed approach, we have avoided the global optimization of the supply chain (high time solution, approximate solution, complex models, unrealistic hypothesis…) The complexity was treated part by part by local optimization, the solution will be evolved to be more realistic by a continuous optimization

Is Supply Chain a complex system?

Nowadays, industries are continually looking to implement new subsidiaries in different continents, in order to better fulfill their customers’ needs, generate the best products in the shortest time and cheaper than their competitors. Achieving these goals is no longer related to the company itself, but to all partners in the supply chain. This justifies the need for efficient and judicious management of the whole supply chain, through the collective intervention of all its actors. Needless to say, a supply chain is a system made up of a set of suppliers, producers, subcontractors, retailers, wholesalers and customers, between whom material, information and financial flows are exchanged. Management of these flows is becoming increasingly difficult and constitutes the main source of the supply chain complexity. In order to alleviate this problem and improve supply chain performance, it is necessary to model it, taking into consideration its characteristics, which make it a complex system. Hence, the scoop of this paper is to prove that supply chain is a complex system, by highlighting its most relevant characteristics that make it such a system. Complex means what is braided together or woven together. If we separate the elements, we get acquaintance elements, but we lose their interactions. Within this trend, our contribution subscribes with its ultimate purpose modelling supply chain as complex system

PLM (Product Lifecycle Management) Model for Supply Chain Optimization

Part 2: PLM EcosystemInternational audienceProduct Lifecycle Management (PLM) is an integrated business approach to the collaborative creation, management and dissemination of engineering information throughout the extended enterprise.Concretely, PLM enables a supply chain to become much more competitive by an effective collaboration among customers, developers, suppliers and manufacturers at various lifecycle stages of a product.Our objective is to propose a PLM model for a supply chain in order to increase its overall performance through better control of products at all stages of their lives. Thus, we will track product’s information on a supply chain composed, as a first step, by five actors (supplier, enterprise, warehouse, transporter and customer). Indeed, by integrating the logistics constraints in the early stages of product development, this will avoid additional costs and time waste caused by a product unsuitable for its supply chain