International Journal of Production Management and Engineering 2022-07-29T12:51:01+02:00 Josefa Mula Open Journal Systems <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> Quantitative supply chain segmentation model for dynamic alignment 2022-07-04T02:28:34+02:00 Rafael Alves Ferreira Lucas A. S. Santos Kleber F. Espôsto <div><p class="TtuloAbstract"><span lang="EN-US">Companies deal with different customer groups, requirements differ among them, which makes it important to define the service level precisely and improve customer service through different supply chain strategies for each group. An alternative to deal with imprecision related to the segmentation processes suggested by either the Leagile or the Dynamic Alignment Schools is the application of fuzzy set theory. The objective of this work is to develop a quantitative model that uses the fuzzy set theory and, based on sales data, assess the company’s supply chain(s). The model's aim is to facilitate managers' decision-making processes to achieve the dynamic alignment. It was possible to identify the supply chains that serve the client groups evaluated, providing answers faster than the analysis proposed by the models found in the literature. The application in two real situations validated the model since the results obtained were consistent with the reality pointed out by the experts of the companies assessed. The model indicates possible actions for the realignment of the supply chain by their managers. Results obtained should improve practice, preparing managers to cope with the organizations` multiple supply chains. This study is the first one that aims to segment quantitatively supply chains on a company applying fuzzy set theory, providing a novel approach to align operations and supply chain strategy dynamically.</span></p></div> 2022-07-29T00:00:00+02:00 Copyright (c) 2022 International Journal of Production Management and Engineering Packaging design for competitiveness. Contextualizing the search and adoption of changes from a sustainable supply chain perspective 2022-01-24T01:00:01+01:00 Jesus García-Arca A. Trinidad González-Portela Garrido J. Carlos Prado-Prado Iván González-Boubeta <p>The “Sustainable Packaging Logistics” (SPL) approach seeks sustainable integration of the combined “packaging-product-supply chain” system orientated to increase competitiveness. However, characterizing which changes make it possible to guide such design in each company and supply chain is an aspect that has not been covered in the literature from different supply chain perspectives. The main goal of this paper is to identify and justify the main actions for improvement in SPL, combined with a proposal of methodology for contextualizing, selecting and implementing each of these potential actions, applying the “Action Research” approach. Likewise, this paper illustrates the interest of this methodology with its adoption in four different companies and supply chains. This paper opens up new avenues of applied research in packaging design, generating knowledge that contributes to sustainable and competitive improvement.</p> 2022-07-29T00:00:00+02:00 Copyright (c) 2022 International Journal of Production Management and Engineering Preparing for future e-waste from photovoltaic modules: a circular economy approach 2022-01-07T01:38:03+01:00 David Hidalgo-Carvajal Ruth Carrasco-Gallego <p>The increasing adoption rate of photovoltaic power generation shows that renewable energies have a bright future. Yet, this could be overshadowed by the unintended consequence of increased generation of Waste of Electric and Electronic Equipment (WEEE) at the installations’ End-of-Life (EoL) stage. As countries find themselves dealing with the increasing WEEE issue, they may adopt different practices which, if wrongly implemented, could potentially backfire, creating additional issues especially among vulnerable social groups. This work proposes improving the WEEE management system by including the Informal Recyclers in the equation, benefitting social groups and material recovery through by delivering materials along different streams in the closed-loop supply chain. The proposed model intends to support the circular economy approach on waste management systems.</p> 2022-07-29T00:00:00+02:00 Copyright (c) 2022 International Journal of Production Management and Engineering Sustainable and agile manufacturing outsourcing partner selection: a literature review 2022-02-05T18:55:27+01:00 Mohammad Akhtar <p>Outsourcing to third party to manage non-core activities helps the firm to focus on core activities. Manufacturing firms are outsourcing product development, manufacturing, logistics, customer care etc. to enhance production capacity and flexibility, and to reduce operational costs, which in turn can improve profitability and competitive advantage of the enterprise. Sustainability in operations and supply chain is gaining momentum due to increased global environmental concern, pressures from consumers and communities, and enforced regulations. Volatile and uncertain business environment necessitates the adoption of agility and flexibility to effectively manage manufacturing and supply chain. Globalisation has made the market very competitive and hence manufacturing firms are adopting manufacturing outsourcing to third parties. Selecting a sustainable and agile manufacturing outsourcing partner (MPS) is crucial as it will improve sustainability, efficiency, and effectiveness of the supply chain and competitive advantage to the firm. Detailed literature review on sustainable and agile manufacturing outsourcing partner selection has been carried out from EBSCO data base and Goggle scholar. Selection criteria used are classified into agile, operational, economic, environmental and social. The techniques use are mostly multi criteria decision making methods (MCDM) while few have adopted programming techniques. Discussion, implication and the scope of future work is also provided.</p> 2022-07-29T00:00:00+02:00 Copyright (c) 2022 International Journal of Production Management and Engineering Implementation of green, lean and six sigma operations for sustainable manufacturing. A review 2022-05-06T23:45:22+02:00 Khalid Nagadi <p>With ever increasing environmental concerns and global warming, green manufacturing has gained momentum to make the manufacturing processes sustainable and efficient. This review aims to analyse the models to integrate three different management systems that are green, six sigma and lean for the sustainability of various manufacturing processes. Research gaps for such integration are identified through a literature review of various studies. The importance of the concepts of eco-friendly and sustainability in business operations and practices is growing rapidly as a result of public pressure, government regulations and social responsibilities. The first step is the identification of sustainability assessment for the current industrial processes and then to make them eco-friendly and more efficient through different green, six sigma and lean tools available. The methodology presented in this review will not only help in sustainability but also is helpful in the integration of various models for the improvement of the processes. Green Lean Six Sigma (GLS) is an approach known to minimize emissions and carbon footprints while improving process efficiency. GLS includes green, six sigma and lean methodologies for high performance, sustainability, social development, economic progress and environmental protection. The successful integration of this GLS approach is dependent on different theoretical indicators and the model is developed based on DMAIC. Various tools, enablers and integration methods are employed for the GLS approach.</p> 2022-07-29T00:00:00+02:00 Copyright (c) 2022 International Journal of Production Management and Engineering Enhance quality improvement through lean six sigma in division Side Board Clavinova Piano’s 2021-11-09T23:40:35+01:00 Hernadewita Hernadewita Indra Setiawan Hendra Hendra <p>A lean production system is one of the main factors that every company must have to improve quality, especially reducing waste that occurs in the production line. The musical instrument industry such as Piano manufacturing includes industries that reduce waste by improving the manufacturing system. The company’s strategy to eliminate this waste is to create an effective and efficient work system. The piano production process still has several problems, such as the presence of waste. This is an obstacle in improving the quality of production by reducing the waste that occurs. For this reason, this research focuses on improving the quality of production by reducing waste that occurs, finding the cause of the problem and taking corrective action. The method used in this research is the integration of Lean and Six Sigma and the DMAIC framework. The process is waste flow and production problems are identified in Define phase and residual measurement is measured in Measurement phase. Fishbone diagrams and the application of FMEA are used to analyze the factors that cause problems that occur and prioritize improvements to solve these problems. The implementation of Value Stream Mapping (VSM) is applied to the Enhance of quality improvement phase to reduce waste. The results showed that product quality increased from an average sigma level of 3.53 to 3.79 where overproduction decreased by 41% and Side Board production leadtime decreased by 373 second.</p> 2022-07-29T00:00:00+02:00 Copyright (c) 2022 International Journal of Production Management and Engineering Analyzing store features for online order picking in grocery retailing: an experimental study 2022-07-10T21:41:44+02:00 Mar Vazquez-Noguerol Sara Riveiro-Sanroman Iago Portela-Caramés J. Carlos Prado-Prado <p>The digital transformation is having a major impact on the consumer product market, pushing food retailers to foster online sales. To avoid large investments, e-grocers are tending to use their existing physical stores to undertake the online order picking process. In this context, these companies must choose in which traditional stores must prepare online orders. The aim of this study is to identify which store features affect order preparation times. The action research approach has been used at a Spanish e-grocer to analyze the characteristics that differentiate picking stores from each other; furthermore, the preparation times for a sample of online orders have been measured. The data were analyzed statistically using one-way ANOVA to define the optimal store in terms of size, assortment, backroom and congestion. The study shows that three of the four characteristics are significant on the preparation time. Therefore, e-grocers using a store-based model can use this information to focus their efforts on optimizing this process, assigning online order picking to the most appropriate stores. The approach used allows the study to be suitable for different retail context. Moreover, the results serve as support for strategic decision-making of researchers and e-grocers seeking to become more competitive in this continually growing market.</p> 2022-07-29T00:00:00+02:00 Copyright (c) 2022 International Journal of Production Management and Engineering Evaluation of supply chain risks by fuzzy DEMATEL method: a case study of iron and steel industry in Turkey 2022-05-06T23:59:37+02:00 Asuman Üstündağ Sinan Çıkmak Merve Çankaya Eyiol Mustafa Cahit Ungan <p class="IJPMEKeywordsHeader">Business practices to strengthen competitiveness increase the vulnerability of supply chains to risks. Risks that can adversely affect the effectiveness and efficiency of supply chain activities are events that disrupt the flow of information, materials, money, and products. Therefore, supply chain risk management is vital for companies. It is necessary to identify the risks that threaten the supply chain and prioritize them. In addition, examining the effects of risks on each other will determine the success of supply chain risk management. This study evaluates Turkey’s leading iron and steel company’s supply chain risk groups and sub-risks. The fuzzy DEMATEL method was used to determine the relative importance of the risks and the effects of the risks on each other. Results show that the most critical risk group is business risks. Business risk is followed by customer risks, supplier risks, transportation risks, environmental risks, and, finally, security risks. This study provides originality by evaluating the supply chain risks from a broader perspective.</p> 2022-07-29T00:00:00+02:00 Copyright (c) 2022 International Journal of Production Management and Engineering Supply chain network design: a case study of the regional facilities analysis for a 3D printing company 2022-05-21T18:41:18+02:00 Brena Carvalho de Sá Erick Henrique Dutra de Souza Luciana Paula Reis Michael David de Souza Dutra <p>3D printing supply chain network. The objective is to analyze regional facility configurations in order to lower investment risks for an organization that aims to provide additive manufacturing The growing 3D printing market can be an attraction for investment in new businesses, which may entail strategic planning for new ventures. This paper presents a case study of designing a services for orthopedic and dental prostheses production. To this end, the competitive environment, the aggregating factor and logistic costs, tariffs and tax incentives, regional demand, political factors, the value of currency, and the demand uncertainty are analyzed. The results indicate that the adopted framework for network design decisions effectively allows the analysis of regional facility configuration. It also suggests that there are no hindering factors to the implementation of a 3D printing service company. In the region studied, there are fiscal incentives of more than 60% for taxes on the movement of goods between municipalities, which can be an advantage when locating facilities outside the capital. Competitors are well qualified, but there is room for new companies focused on quality and price, which may be a case for specialized products such as protheses. The estimated demand ranges from 146 to 509 units per month, which may be an opportunity for a new entrant given the few additive manufacturing ventures identified in the region.</p> 2022-07-29T00:00:00+02:00 Copyright (c) 2022 International Journal of Production Management and Engineering The factors of competitiveness management of manufacturing enterprise personnel in conditions of uncertainty 2022-06-27T01:30:53+02:00 K.V. Kovtunenko Yu.V. Kovtunenko N.M. Fomina O.V. Kovalchuk D.Yu. Kovtunenko <p>Personnel competitiveness has always been one of the main advantages of any production enterprise. Therefore, competitiveness management of production enterprise personnel is one of the most foreground types of management. And that is the reason why this article has pretty high relevance. The article covers the most widespread issues and difficulties of personnel management implementation nowadays, considering current complicated conditions of uncertainty, which become increasingly sophisticated every time. Moreover, our study demonstrates some possible ways for production enterprises to overcome existing obstacles and become ready for new ones in conditions of uncertainty. As COVID-19 and martial law in Ukraine with their restrictions have contributed to the way of personnel management realization, many production enterprises have been suffering because of that and have been forced to change their management principles to meet the new conditions. Therefore, the latest theories of personnel competitiveness management are introduced in our science study to help production enterprises cope with the changing conditions of uncertainty in the modern world.</p> 2022-07-29T00:00:00+02:00 Copyright (c) 2022 International Journal of Production Management and Engineering