Alexandre Dolgui

IMT Atlantique | IMT · Department of Automation, Production and Computer Sciences

Inventory control in a supply chain is crucial for companies desiring to satisfy their customers demands as well as controlling costs. This paper examines specifically supply planning under uncertainties in MRP environments. Models from literature that deal with random demand or lead time uncertainties are described and commented. Promising researc...

Line balancing belongs to a class of intensively studied combinatorial optimization problems known to be NP-hard in general. For several decades, the core problem originally introduced for manual assembly has been extended to suit robotic, machining and disassembly contexts. However, despite various industrial environments and line configurations,...

The first comprehensive analysis of concepts and models in production systems management to consider a broad perspective covering outsourcing strategies and dynamic pricing policies. Supply Chain Engineering considers how modern production and operations management (POM) techniques can respond to the pressures of the competitive global marketplace...

Free Download link for full paper: https://www.tandfonline.com/eprint/WCPCPFQFWUEQWC2BEDC7/full?target=10.1080/00207543.2019.1627439 Recently, the applications of Blockchain technology have begun to revolutionise different aspects of supply chain (SC) management. Among others, Blockchain is a platform to execute the smart contracts in the SC as tr...

The ripple effect refers to structural dynamics and describes a downstream propagation of the downscaling in demand fulfilment in the supply chain (SC) as a result of a severe disruption. The bullwhip effect refers to operational dynamics and amplifies in the upstream direction as ordering oscillations. Being interested in uncovering if the ripple...

Because disruption happens unpredictably and generates serious impact in supply chain and production environments in the real world, it is important to develop approaches to handle disruption. This paper investigates disruption handling in part input sequencing of flexible manufacturing systems (FMSs). An algorithm is proposed for FMS part input se...

This paper introduces the Theory of AI-driven scheduling (TAIS), an innovative framework designed to revolutionize service-oriented scheduling by integrating the theory of constraints (TOC) (see APPENDIX I) with cutting-edge Artificial Intelligence (AI) technologies. TAIS extends the traditional five steps of TOC by introducing three additional lay...

Critical success factors (CSFs) are limited components that are critical to the success of the organization. If the organization needs its presence, it should give them. Therefore, organizations should consider these factors in their operational processes. In today’s world, which is mixed with transformative technologies and business and supply cha...

Keynote talk presenting the history of the INCOM symposium since its first edition in 1977

Supply chain (SC) resiliency and risk management have garnered increasing attention recently. While several studies have explored the use of scale-free network models to design and optimise SC networks, there remains a lack of a generalised stress-testing method that can be applied to various types and sizes of SCs. To address this, we propose a no...

Disassembly Line Balancing (DLB) is a critical issue in end-of-life product recycling and re-manufacturing. DLB-related supply chains exist in many industry sectors, including automobiles, mobile phones, and electronic appliances. In recent years, the interest in multi-objective versions of DLB under certainty has been constantly increasing. Howeve...

A presentation of the international journal of production research, aim and scope and the journal policy

End-of-life (EOL) product recycling has received increasing attention because of potential environmental, social and economic benefits. A well-designed reverse supply chain (RSC) can efficiently handle EOL products. As the critical activity in the RSC, the disassembly process decomposes collected EOL products into components to fulfill the demands...

This research examines the transformative potential of artificial intelligence (AI) in general and Generative AI (GAI) in particular in supply chain and operations management (SCOM). Through the lens of the resource-based view and based on key AI capabilities such as learning, perception, prediction, interaction, adaptation, and reasoning, we explo...

Support vector clustering (SVC) has been proposed in the literature as a data-driven approach to build uncertainty sets in robust optimization. Unfortunately, the resulting SVC-based uncertainty sets induces a large number of additional variables and constraints in the robust counterpart of mathematical formulations. We propose a two-phase method t...

Managing blood donations is a challenging problem due to the perishability of blood, limited donor pool, deferral time restrictions, and demand uncertainty. The problem addressed here combines two important aspects of blood supply chain management: the inventory control of blood products and the donation schedule. We propose a stochastic scenario-b...

This paper delves into the impacts of an ongoing global crisis on the resilience of supply chains. Furthermore, it proposes measures to address and mitigate the dis- ruptions caused by the prevailing uncertainties. For example, while the economy has started to recover after the pandemic and demand has increased, companies have not fully returned to...

Purpose Credit risk evaluation is a crucial task for banks and non-bank financial institutions to support decision-making on granting loans. Most of the current credit risk methods rely solely on expert knowledge or large amounts of data, which causes some problems like variable interactions hard to be identified, models lack interpretability, etc....

Highlights 1) A SC resilience and viability improving problem is studied under ripple effects. 2) The limited budget and data scarcity are considered for government intervention. 3) A non-convex non-linear robust optimization model is established for the problem. 4) A problem-specific branch-and-bound algorithm is designed to solve the problem. 5)...

18th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2024) 28-30 August 2024, Vienna, Austria A major global event for Control and Industrial Engineering, Operations Management, and Data Science https://www.incom2024.org/

The metaverse and Web 3.0 have created a new digital world with specific properties and behaviours replicating and influencing the behaviours and processes of physical entities. This study aims to advance our understanding of how the metaverse will impact supply chain and operations management (SCOM). Using elements of a structured literature searc...

The COVID-19 virus’s high transmissibility has resulted in the virus’s rapid spread throughout the world, which has brought several repercussions, ranging from a lack of sanitary and medical products to the collapse of medical systems. Hence, governments attempt to re-plan the production of medical products and reallocate limited health resources t...

The emergence of the SARS-CoV-2 virus and new viral variations with higher transmission and mortality rates have highlighted the urgency to accelerate vaccination to mitigate the morbidity and mortality of the COVID-19 pandemic. For this purpose, this paper formulates a new multi-vaccine, multi-depot location-inventory-routing problem for vaccine d...

INFORMS Webinar "Viable and Digital Supply Chain" by Alexandre Dolgui and Dmitry Ivanov. Video record: https://www.youtube.com/watch?v=JqGl5BxIfT4

This paper deals with the multi-model assembly line balancing problem (MuMALBP) in a reconfigurable environment. The considered line is composed of a fixed number of workstations and can produce different products in batches. Each product requires an appropriate line configuration. Thus, when the product changes, the line has to be reconfigured to...

The COVID-19 pandemic has triggered new research areas in supply chain resilience. One of these new areas is viability. Viability extends the resilience understanding from performance-based assessment of firm’s responses to disruptions towards survivability of both supply chains and associated ecosystems not only during some short-term disruptions...

This issue intends to provide a forum for the latest developments in solving line balancing and model sequencing problems in modern manufacturing context characterized by new challenges and objectives implied by mass customization, worldwide competition, industry 4.0 and sustainability issues, ... This special issue is based on the success of vario...

767 participants from 59 countries The 10th triennial IFAC Conference “Manufacturing Modelling, Management and Control” (MIM’2022) – June 22, 23, 24, 2022 – was organized by the Department Automation, Production and Computer Sciences, IMT Atlantique, Campus in Nantes, France. https://hub.imt-atlantique.fr/mim2022/

https://www.callforpapers.co.uk/stress-tests-for-supply-chains

Production and distribution are two key constituents of a supply chain. In view of the growing availability of data and advances in big data analytics techniques, there have been more and more applications of data analytics to deal with the problems in production and distribution management. With this in mind, we proposed a special issue on ‘Big Da...

In the research on production economics, line balancing is an intensively studied combinatorial optimisation problem. In our previous comprehensive survey on line balancing problem published in 2013 in the International Journal of Production Economics, we compared input data modelling approaches, constraints and objective functions used in more 300...

This paper deals with the design of a reconfigurable modular manufacturing line. The studied line is composed of a fixed number of modular machines, each of which having a limited number of spots where modules can be placed. Such a line is able to handle different products. Switching from one product configuration to another requires the line to be...

Optimal control is a convenient way to develop both supply chain process optimization models and describe the dynamics of process fulfillment. A rich diversity of knowledge has been developed for the integration of optimization and simulation methods with applications to supply chain management at conceptual, informational, and computational levels...

Reconfigurable supply chains received increasing interest from academia and industry in the past years, especially because recent events such as the COVID-19 pandemic revealed the vulnerability of present supply chains. Especially the rapid digitalization and the emergence of artificial intelligence in supply chain management create new opportuniti...

In this paper, we consider a buffer allocation problem in manufacturing flow lines with series-parallel network structure where nodes correspond to buffers of finite capacity, and arcs correspond to the machines. The machines are supposed to be unreliable, their time to failure and repair time are assumed to be exponentially distributed. Different...

Support Vector Clustering (SVC) has been proposed in the literature as a data-driven approach to build uncertainty sets in robust optimization. Unfortunately, the resulting SVC-based uncertainty sets induces a large number of additional variables and constraints in the robust counterpart of mathematical formulations. We propose two methods to appro...

This paper deals with the simulation and optimisation of disassembly-reconditioning-assembly system (DRAS) taken into account random machines failures and repairs. The proposed system is composed of one disassembly machine, two parallel structures, one assembly machine and stocks to store the used products, components and finished product. In this...

This study addresses disassembly lot-sizing that determines the ordering and disassembly schedules of end-of-life (EOL) products and subassemblies to satisfy items demands. A stochastic version with uncertain ordering lead time (OLT) is considered for the first time. Here, OLT represents the time elapsed between placing an order and receiving it (o...

Among all the challenges which highlight the need of reconfigurability in manufacturing systems, taking into account the introduction of a new product has been rarely considered by the researchers. Indeed, taking into account the new product variants in the future production generation of the line at the initial design stage smooths the reconfigura...

Machine learning tools have experienced a growing interest in the early 2010s, providing efficient predictive approaches for artificial intelligence and statistical analysis. These same prediction methods have also sparked interest in the operations research community for decision-making based on predictive analysis by exploiting massive histories...

The majority of publications in the scientific literature investigate stochastic demand processes with constant order lead times. In practice, inventory management software like MRP is used by companies even if ignored the uncertainty of lead times. In this work, we investigate the influence of this type of uncertainty and existing solutions propos...

Supply chain networks undergo transformations on the scale unlike any seen before. Extensive technology adoptions in supply chain networks render changes in network structures entailing multi-structural dynamics (i.e., new technologies such as Industry 4.0 and additive manufacturing lead to creating more dynamic and reconfigurable supply chains). T...

The use of Additive Manufacturing (AM) has become more widespread in recent years, covering different sectors. The increased interest in AM is due to the main benefits associated with its use, such as the possibility to produce even complex parts on demand and on the service site. These benefits have recently made researchers and practitioners hypo...

The COVID-19 pandemic’s impacts have been devastating for the global economy, and particularly for manufacturing companies. Many firms were unprepared for a crisis of this magnitude and adapted their operations in an ad-hoc manner. Some of these adaptations were facilitated by digital technologies (DTs). This article examines extant literature usin...

Product customization and frequent market changes force manufacturing companies to employ mixed-model instead of simple assembly lines. To well adjust the line’s capacity to production requirements, the line can benefit from the concept of reconfigurability. Our study deals with a reconfigurable mixed-model assembly line where tasks can be dynamica...

The Industry 4.0 revolution is changing the manufacturing landscape. A broad set of new technologies emerged (including software and connected equipment) that digitise manufacturing systems. These technologies bring new vitality and opportunities to the manufacturing industry, but they also bring new challenges. This paper focuses on the impact of...