International Journal of Production Management and Engineering <p style="text-align: justify; text-justify: inter-ideograph; margin: 0cm 0cm 6.0pt 0cm;"><strong>International Journal of Production Management and Engineering </strong>is an <em>open access scientific journal </em>that publishes theoretical and empirical peer-reviewed articles in English twice a year. Contributions must promote the progress and understanding of phenomena related with all aspects of production engineering and management.</p> Universitat Politècnica de València en-US International Journal of Production Management and Engineering 2340-4876 <p><a href="" rel="license"><img src="" /></a></p> <p>This work as of Vol. 11 Iss. 2 (2023) is licensed under a <a href="" target="_blank" rel="noopener">Creative Commons Attribution-NonCommercial-ShareAlike- 4.0 International License</a> </p> <p> </p> Advances and emerging research trends in maritime transport logistics: environment, port competitiveness and foreign trade <p class="IJPMEAbstract"><span lang="EN-US">The operations of international trade drive global economies, with maritime transport serving as a key pillar in market connectivity and acceleration. The opportunities presented by Industry 4.0 to connect supply chain actors through integrated logistics pose a challenge that fuels the number of studies in this area, with a particular interest in the transportation stage due to its responsibilities for efficiency. This study conducts a systematic literature review by analyzing scientometric aspects and identifying research trends related to maritime transportation logistics. The PRISMA methodology, graph theory, and bibliometric indicators such as indegree, betweenness, and outdegree were employed to process the information related to maritime transportation logistics from the Scopus and Web of Science databases spanning from 2000 to 2022. The gathered information and results were processed and analyzed using R-studio and Bibliometrix tools. The documents were classified as original, structural, and research trends, with the latter focused on topics related to the environment, port competitiveness, logistics optimization, and economics. Finally, an agenda for future research in the field is presented.</span></p> Paola Alzate Gustavo A. Isaza Eliana M. Toro Jorge A. Jaramillo-Garzón Copyright (c) 2024 Paola Alzate, Gustavo A. Isaza, Eliana M. Toro, Jorge A. Jaramillo-Garzón 2024-01-31 2024-01-31 12 1 1 18 10.4995/ijpme.2024.21090 Hybrid genetic algorithm to minimize scheduling cost with unequal and job dependent earliness tardiness cost <p>This article presents two combinatorial genetic algorithms (GA), unequal earliness tardiness-GA (UET-GA) and job-dependent earliness tardiness-GA (JDET-GA) for the single-machine scheduling problem to minimize earliness tardiness (ET) cost. The sequence of jobs produced in basic UET and JDET as a chromosome is added to the random population of GA. The best sequence from each epoch is also injected as a population member in the subsequent epoch. The proposed improvement seeks to achieve convergence in less time to search for an optimal solution. Although the GA has been implemented very successfully on many different types of optimization problems, it has been learnt that the algorithm has a search ability difficulty that makes computations NP-hard for types of optimization problems, such as permutation-based optimization problems. The use of a plain random population initialization results in this flaw. To reinforce the random population initialization, the proposed enhancement is utilized to obtain convergence and find a promising solution. The cost is further significantly lowered offering the due date as a decision variable with JDET-GA. Multiple tests were run on well-known single-machine benchmark examples to demonstrate the efficacy of the proposed methodology, and the results are displayed by comparing them with the fundamental UET and JDET approaches with a notable improvement in cost reduction.</p> Prasad Bari Prasad Karande Vaidehi Bag Copyright (c) 2023 PRASAD BARI, PRASAD KARANDE, VAIDEHI BAG 2023-11-02 2023-11-02 12 1 19 30 10.4995/ijpme.2024.19277 Heijunka-levelling customer orders: a systematic literature review <p class="IJPMEAbstract">Heijunka is the central concept of the Toyota Production System which aims to maintain both flexibility and stability of the production system by producing the same quantity of products every time interval (a day, a shift, an hour, etc.). This study is a systematic literature review whose objective is to give an idea about the most important research areas regarding this concept and to propose an agenda for further research. A total of 60 articles were reviewed using specified inclusion and exclusion criteria. The review showed that heijunka received little attention in the academic literature and disclosed the existence of three main research topics, namely: Implementation of heijunka and its benefits, Heijunka-related problem-solving using optimization, and Heijunka and Industry 4.0 technologies. This review could have some limitations related to the number of reviewed articles. It is possible that, unintentionally, some important articles haven’t been included.</p> Meryem Boutbagha Laila El Abbadi Copyright (c) 2024 Meryem Boutbagha, Laila El Abbadi 2023-11-26 2023-11-26 12 1 31 41 10.4995/ijpme.2024.19279 Supply chain risk assessment and mitigation under the global pandemic COVID-19 <p style="font-weight: 400;">Supply chain (SC) disruptions were massive in 2020, with many manufacturers forced to close their operations temporarily. The coronavirus pandemic (COVID-19) has changed the way enterprises perceive risks and the potential effect on their supply chain. Many enterprises are now very dependent on third-party services, so it is necessary to adapt to sustainability challenges. This paper aims to provide a detailed review of research related to risk assessment and mitigation of the SC under lockdown due to COVID-19. Then, it identifies risks associated with supply chains (SCs) during the pandemic using the Failure Mode Effect Analysis. Finally, it suggests improvements to have a fully resilient supply chain. In addition, it explored Supply Chain Resilience (SCR), its phases, and strategies by examining an enterprise that managed COVID-19 pandemic disruptions and turned their potential losses into revenue. Furthermore, we discussed a case study where the enterprise increased its total income by nearly $1 million.</p> Ala H. Bani-Irshid Mohammad M. Hamasha Lubna Al-Nsour Lana Mohammad Anfal Al-Dabaibeh Raya Al-Majali Hala Al-Daajeh Copyright (c) 2024 Ala'a Bani-Irshid, Mohammad Hamasha 2023-12-02 2023-12-02 12 1 43 63 10.4995/ijpme.2024.19240 A novel tool-input-process-output (TIPO) framework for upgrading to lean 4.0 <p>For more than four decades, Lean Manufacturing (LM) has delivered in terms of waste reduction, productivity and sustainability for the benefit of manufacturers, customers and society at large. In the present era of Industry 4.0 (I4.0), the integration of physical and digital systems is providing huge scope for enhancing the performances of conventional lean tools and practices. Although recent literature has emphasized the integration of lean and Industry 4.0 as Lean 4.0, the mode of integration and basis for selecting technologies need to be explored more. The present paper aims to address this gap and presents a novel Tool-Input-Process-Output (TIPO) approach in which ‘Inputs’ required for the implementation of conventional lean tools are identified and mapped with core characteristics of I4.0 technologies to develop the ‘Process’ for the integration. Exemplified on three prominent lean tools; Just-In-Time (JIT), <em>Jidoka </em>and <em>Heijunka</em>&nbsp; to illustrate the proposed framework. &nbsp;</p> C. Koteswarapavan L. N. Pattanaik Copyright (c) 2024 KOTESWARAPAVAN C, L. N. Pattanaik 2023-12-23 2023-12-23 12 1 65 77 10.4995/ijpme.2024.19723 A requirement-driven approach for competency-based collaboration in industrial data science projects <p>The digitization of learning resources has led to an increase in specialized collaboration platforms across various fields, including the need for manufacturing companies to develop and maintain expertise in Industrial Data Science (IDS). This paper presents an approach to integrating collaborative and competency-based needs specific to industrial data analytics into a functional collaboration platform. We define the unique requirements of IDS projects and translate them into platform features. These features are then implemented and tested in an online platform within a research project, validating their effectiveness in a dynamic value network setting. The platform’s primary innovation lies in its tailored design for IDS project practitioners from diverse domains, ensuring sustainable integration of data analytics in industrial settings. The initial version of this collaborative platform is currently accessible online and undergoing validation.</p> Marius Syberg Nikolai West Jörn Schwenken Rebekka Adams Jochen Deuse Copyright (c) 2024 Marius Syberg, Nikolai West, Jörn Schwenken, Rebekka Adams, Jochen Deuse 2024-01-31 2024-01-31 12 1 79 90 10.4995/ijpme.2024.19123 An adaptive differential evolution algorithm to solve the multi-compartment vehicle routing problem: A case of cold chain transportation problem <p>This research paper introduces an adaptive differential evolution algorithm (ADE algorithm) designed to address the multi-compartment vehicle routing problem (MCVRP) for cold chain transportation of a case study of twentyeight customers in northeastern Thailand. The ADE algorithm aims to minimize the total cost, which includes both the expenses for traveling and using the vehicles. In general, this algorithm consists of four steps: (1) The first step is to generate the initial solution. (2) The second step is the mutation process. (3) The third step is the recombination process, and the final step is the selection process. To improve the original DE algorithm, the proposed algorithm increases the number of mutation equations from one to four. Comparing the outcomes of the proposed ADE algorithm with those of LINGO software and the original DE based on the numerical examples In the case of small-sized problems, both the proposed ADE algorithm and other methods produce identical results that align with the global optimal solution. Conversely, for larger-sized problems, it is demonstrated that the proposed ADE algorithm effectively solves the MCVRP in this case. The proposed ADE algorithm is more efficient than Lingo software and the original DE, respectively, in terms of total cost. The proposed ADE algorithm, adapted from the original, proves advantageous for solving MCVRPs with large datasets due to its simplicity and effectiveness. This research contributes to advancing cold chain logistics with a practical solution for optimizing routing in multi-compartment vehicles.</p> Supaporn Sankul Naratip Supattananon Raknoi Akararungruangkul Narong Wichapa Copyright (c) 2024 naratip supattananon, Supaporn Sankul, Raknoi Akararungruangkul 2024-01-31 2024-01-31 12 1 91 104 10.4995/ijpme.2024.19928 Improvement of the sustainable performance in a textile company using the lean-green methodology <p>The textile industry represents one of the greatest threats to the environment. It is the second most polluting industry, generating hazards with its solid waste, gas emissions, water pollution, among others. The objective of this research was to assess the effects of the implementation of the Lean Green methodology within the textile industry to optimize the sustainable performance of the companies and to address the problems of the sector mentioned above. The case study selected was the dyeing area of a Peruvian textile company where the Lean Green methodology was implemented in a sequential design of six phases to then evaluate its effects on sustainable performance. The findings show that the implementation of the proposed model improves water consumption by 18% and electricity consumption by 43%, which has a positive economic impact. Not only in the environmental area, there is also a 120% increase in productivity. The value of this proposal lies in the fact that it can be replicated in other companies in the sector, both locally and regionally. It was also proposed to include the operational criterion in the measurement of sustainable performance for a better dimensioning of the improvement.</p> Alessandra De-La-Flor Marianella Vigil Marcos Fernando Ruiz-Ruiz Copyright (c) 2024 Alessandra De-La-Flor, Marianella Vigil, Marcos Fernando Ruiz-Ruiz 2024-01-31 2024-01-31 12 1 105 116 10.4995/ijpme.2024.20260