Production Planning & Control最新文献

{"title":"Big data analytics and lean practices: impact on sustainability performance","authors":"Lígia Lobo Mesquita, Fabiane Letícia Lizarelli, Susana Duarte","doi":"10.1080/09537287.2023.2267512","DOIUrl":"https://doi.org/10.1080/09537287.2023.2267512","url":null,"abstract":"AbstractAcademics and practitioners have identified the potential of Big Data Analytics capability (BDAC) and Lean Social-Technical system to improve sustainability performance. Nonetheless, there is still a limited understanding of how companies’ BDAC efforts can contribute to Lean Practices and transform this relationship into sustainability-related benefits, impacting economic, social, and environmental performance. A comprehensive conceptual model to assess the mediating effect of Lean Social Practices (LSP) and Lean Technical Practices (LTP) on the relationship between BDAC and economic, social, and environmental performance was developed and tested with a sample of 108 respondents, from Brazilian industrial companies. The results obtained using Partial Least Squares Structural Equation Modeling (PLS-SEM), showed that the relationship between BDAC and economic performance is completely mediated by LTP. However, LSP does not mediate the relationships between BDAC and sustainability performance. The findings provide guidance to companies regarding resource allocations for BDAC and Lean to foster sustainability.Keywords: Big data analytics capabilitylean technicallean socialsustainability performancestructural equation modeling AcknowledgmentsThe third author acknowledge Fundação para a Ciência e a Tecnologia (FCT – MCTES) for its financial support via the project UIDB/00667/2020 and UIDP/00667/2020 (UNIDEMI).Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was financially supported by Fundação para a Ciência e a Tecnologia (FCT – MCTES) via the project UIDB/00667/2020 and UIDP/00667/2020 (UNIDEMI).Notes on contributorsLígia Lobo MesquitaLígia Lobo Mesquita is a Ph.D. in Industrial Engineering from the Federal University of São Carlos – UFSCar, São Carlos, Brazil, in 2022. She is an Associate Professor at the Department of Industrial Engineering at the Federal University of Alagoas – UFAL, where she teaches quality control, quality management systems, production planning and control, and factory design and layout. Her research interests focus on the relationships between Industry 4.0 Technologies, Lean Manufacturing Practices and sustainability performance. Mainly on improving economic, environmental and social performance through the relationship between Industry 4.0 and Lean.Fabiane Letícia LizarelliFabiane Letícia Lizarelli is an Associate Professor at the Production Engineering Department on Universidade Federal de São Carlos, Brazil. She holds B.Sc., M.Sc., and Ph.D. degrees from the Federal University of São Carlos, São Carlos, Brazil, in 2005, 2008, and 2013, respectively. Her research interests are in continuous improvement programs such as Six Sigma, Lean and Lean Six Sigma and she has been studying the relationship of these programs with Industry 4.0 technologies, mainly Big Data Analytics. She has studied and published in renowned and refereed journals and conf","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A process-oriented model to measure product carbon footprint: an exploratory study based on multiple cases","authors":"Jialun Hu, Yongjiang Shi, Yang Cheng, Zheng Liu","doi":"10.1080/09537287.2023.2266410","DOIUrl":"https://doi.org/10.1080/09537287.2023.2266410","url":null,"abstract":"Climate change is global challenge and decarbonisation becomes top agenda for manufacturing firms. As it is generally recognized that only the measured get managed, an understanding and measuring of the Product Carbon Footprint (PCF) is now needed. International standards have provided the basic steps for carbon footprint measurement, yet, in practice, there is knowledge insufficiency and high cost. This paper aims to answer the research question: ‘How can companies conduct PCF measurement projects effectively?’. This research adopts the qualitative method with multiple case studies. Data is collected through interviews with operation managers and the sustainability specialists of nine manufacturing companies, with a focus on the motivation and details of activities relating to their PCF measurement projects. Through within-case and cross-case analysis, a process model is proposed alongside the identification of three types of PCF, trial-oriented, process-oriented, and market-oriented PCF. A series of tailored measurement process models are further developed according to the PCF scenarios. The holistic process model contributes to the understanding of a PCF measurement that is based on empirical evidence. Practically, the process model can serve as a ‘cookbook’ to implement PCF measurement projects.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136254300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fast-and-frugal heuristics: an exploration into building an adaptive toolbox to assess the uncertainty of rework","authors":"Peter E. D. Love, Jane Matthews, Lavagnon A. Ika","doi":"10.1080/09537287.2023.2257178","DOIUrl":"https://doi.org/10.1080/09537287.2023.2257178","url":null,"abstract":"Performing rework within the production system of construction is the most expensive waste that confronts organisations, with its causation yet to be fully understood in practice. Any effort to assess the risk of rework poses challenges due to limited information about its frequency and causes, rendering the use of statistical models immeasurable. Research has shown that fast-and-frugal heuristics enable epistemic success under conditions of uncertainty and cognitive complexity – they are accurate, fast, and rely on limited information. Thus, this paper proposes the following research question: How can fast-and-frugal heuristics effectively assess the uncertainty of rework in construction? The theoretical framing of ecological rationality provides an environmental structure for bounded rationality to explore this question, enabling a person’s ‘adaptive toolbox’ of fast-and-frugal heuristics tailored for different epistemic and pragmatic decisions to be utilised. Situations during the construction of a transport infrastructure mega-project (>AU$18 billion) where there was profound uncertainty surrounding rework are presented. The heuristics, intuitively drawn from an individual’s adaptive toolbox used to form judgments to assess the uncertainty of rework, are identified. The theoretical and practical implications of the paper are discussed before presenting suggestions for future research to help build a robust adaptive toolbox to be utilised for assessing the uncertainty of rework in construction.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136294315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoding the context of servitization: socio-technical pivots on the journey to service-oriented business models in manufacturing firms","authors":"Julian Kurtz, Patrick Meyer, Angela Roth","doi":"10.1080/09537287.2023.2261880","DOIUrl":"https://doi.org/10.1080/09537287.2023.2261880","url":null,"abstract":"Servitization has been discussed in academia and practice for decades, but there is still a lack of concrete guidance for manufacturing firms to orchestrate their servitization journeys. This study addresses this deficiency by analysing 88 annual reports of manufacturing firms. Using a multi-cycle inductive coding approach, six pivotal factors in servitization journeys were derived in order to decode their context. The pivotal factors represent fields of action in which manufacturing firms are currently active on their servitization journeys. They include both frontstage (e.g. market proposition) and backstage (e.g. process excellence) factors and predominantly emphasise technological over social activities. This exploratory study contributes to a more nuanced and contextualised understanding of the transformation of manufacturers into service-oriented firms. More importantly, this study sheds new light on servitization research by applying a socio-technical perspective and proposes a practical structuring of the servitization journey with tandems to navigate the journey.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135830734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Benefits realisation: case studies in public major project delivery with recommendations for practice","authors":"Terry Williams, Hang Vo, Mike Bourne, Pippa Bourne, Richard Kirkham, Gordon Masterton, Paolo Quattrone, Carolina Toczycka","doi":"10.1080/09537287.2023.2256287","DOIUrl":"https://doi.org/10.1080/09537287.2023.2256287","url":null,"abstract":"Public projects are enablers of policy and are often framed within a political context characterized by the unpredictable, emergent, ambiguous and contextual; this creates tensions around conceptualizations of project performance and project success. Public projects are generally authorized based on a favourable benefit-to-cost ratio, so ex-post scrutiny of realized benefits is crucial to effective evaluation. Nevertheless, evidence suggests that sometimes, the focus on project delivery may come at the expense of benefits realization. This paper describes part of a wider programme of research into benefits realization in public projects. We present ‘deep dives’ into 3 UK projects and draw on a formal theoretical base to consider questions such as ‘what is a benefit?’, ‘how good are we at defining benefits/beneficiaries?’, ’how can we manage and capture evolving benefits in complex environments?’; ‘how do we recognize and accept complexity while the environment changes?’ and ‘what effects does this have on our understanding of benefits realization?’. This paper presents an analysis of the case studies and provides a synthesis of the main findings. We make eight recommendations for professional practice in the field of benefits management and set out some conclusions relevant to the wider discourse on the evaluation of investment in public projects.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135981176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Industry 4.0 digital transformation and opportunities for supply chain resilience: a comprehensive review and a strategic roadmap","authors":"Morteza Ghobakhloo, Mohammad Iranmanesh, Behzad Foroughi, Ming-Lang Tseng, Davoud Nikbin, Ahmad A. A. Khanfar","doi":"10.1080/09537287.2023.2252376","DOIUrl":"https://doi.org/10.1080/09537287.2023.2252376","url":null,"abstract":"Despite interest in opportunities that Industry 4.0 offers for Supply Chain Resilience (SCR), little is known about the underlying mechanisms for such contributions. The study develops a roadmap that explains how supply chains can capitalize on Industry 4.0 SCR functions. The study conducted a content-centric literature review and identified 16 functions through which Industry 4.0 enhances SCR. Results reveal that the Industry 4.0 SCR functions identified are highly interrelated, and supply chain members should align their digitalization strategies with the sequence in which Industry 4.0 delivers these functions. Industry 4.0 contribution to SCR first involves delivering data-centric functions such as supply chain automation, information and communication quality, process monitoring, and visibility. Industry 4.0 further allows supply chain partners to collaborate better on improving supply chain mapping, complexity management, and innovation capabilities. Through these functions and by increasing transparency, flexibility, and agility of supply chain operations, Industry 4.0 delivers more dependent but consequential resilience functions such as supply chain responsiveness, adaptive capability, and continuity management. The roadmap further explains how each pair of Industry 4.0 SCR functions mutually interact while contributing to the overall resilience of the supply chain. The study discusses possible implications and outlines important avenues for future research.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135980462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do measurement methods matter? A meta-analysis of antecedents and outcomes of contractual governance in interorganisational relationships","authors":"Lihan Zhang, Tianhuan Ding, Yongcheng Fu","doi":"10.1080/09537287.2023.2255869","DOIUrl":"https://doi.org/10.1080/09537287.2023.2255869","url":null,"abstract":"Existing literature uses multiple measurement methods for contractual governance; however, it is unclear whether such differences impact the effect sizes of the relationships between contractual governance and its antecedents and outcomes in interorganisational relationships. This study revisits commonly explored relationships by examining the moderating impacts of the measurement factors. We meta-analysed 141 articles involving 32,763 interorganisational relationships. The results indicate that subjective and objective measurements cannot be interchangeable in certain relationships. Contractual governance, measured by multiple dimensions and multiple items per dimension, exhibits a stronger relationship with other constructs. Furthermore, mixing contract provisions and contract applications when using reflective indicators to measure contractual governance is not a serious issue. These findings advance our understanding of the boundary conditions of the relationships between contractual governance and other constructs. An implication for managers is that they should pay attention to both contracts per se and how contracts are subjectively perceived.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135981118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Industrialized housebuilding business strategies and the design of performance management systems","authors":"Wolfgang Grenzfurtner, Martin Rudberg, Kristina Loike, R. Mayrhofer, M. Gronalt","doi":"10.1080/09537287.2021.1992030","DOIUrl":"https://doi.org/10.1080/09537287.2021.1992030","url":null,"abstract":"Abstract Performance management systems (PMS) are essential instruments for the evidence-based management of on-site production within the industrialized housebuilding (IHB) sector. The information required for more evidence-based decision-making is determined by the business strategies and should be reflected in the design of the PMS. The aim of this study is to clarify, report on and analyze the influence which different strategic orientations have on the PMS. For this purpose, a multiple case study was conducted within the IHB sector of Austria, Germany and Switzerland. The findings revealed those business strategies which led companies to develop specific features within their PMS and showed which specific indicators are relevant for managing on-site performance. In addition, the findings identify weaknesses in performance measurement but also best practice examples. Based on the findings, a differentiated approach towards the ongoing refinement of PMS is suggested, allowing management to be more focussed on strategic objectives.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2023-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87130264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing resilience in disaster relief operations management through lean transformation","authors":"A. Hussain, T. Masood, Haris Munir, M. S. Habib, M. Farooq","doi":"10.1080/09537287.2022.2026671","DOIUrl":"https://doi.org/10.1080/09537287.2022.2026671","url":null,"abstract":"Abstract The impact of disasters in terms of the loss of human lives, infrastructure, and economy has been increasing over time. Planning and management strategies for disaster relief operations (DROs) have got the attention of researchers and policymakers, particularly on how to achieve resilience in such operations. This research aims to investigate the use of the lean transformation approach, which in this context is the process of evaluating relief operations’ performance in terms of responsiveness and road mapping interventions, for achieving resilience in DROs. A systematic lean-based method instigated through DROs’ management initiative was developed. This was validated through an empirical industrial fire case study where selected lean concepts and tools like Suppliers, Inputs, Process, Outputs and Customer (SIPOC)-analysis, value stream maps (VSM), key performance indicators (KPIs), fishbone diagram, and plan-do-check-act (PDCA) were used to investigate DROs resilience in terms of their responsiveness. The VSMs were developed for ‘as-is’ and ‘to-be’ scenarios, and comparative analysis against standardized KPIs was carried out. The lean transformation approach was found effective in the studied case of industrial fire for developing resilience in DROs. Furthermore, lean tools could help in devising pragmatic strategies to prevent delays and achieve enhanced resilience through better coordination, communication, capacity building, and awareness. This research contributes to the operations management and disaster management fields through lean transformation.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90557769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How to assess investments in industry 4.0 technologies? A multiple-criteria framework for economic, financial, and sociotechnical factors","authors":"Rodrigo Pessotto Almeida, N. F. Ayala, G. B. Benitez, F. K. Kliemann Neto, A. G. Frank","doi":"10.1080/09537287.2022.2035445","DOIUrl":"https://doi.org/10.1080/09537287.2022.2035445","url":null,"abstract":"Abstract Companies that want to adopt Industry 4.0 (I4.0) technologies may face difficulties evaluating the return on I4.0 investments. The complexity of implementing such technologies and uncertainties regarding the technological requirements, benefits, and organizational impacts make investment decisions challenging in this context. We propose an investment appraisal framework for I4.0 technologies adoption based on a multiple-criteria decision making (MCDM) approach. Using the Innovation Diffusion and Sociotechnical theories, we build a framework with three main stages (knowledge, persuasion, and decision) to guide practitioners through an analysis of I4.0 investments from three different perspectives: Economic, Financial, and Sociotechnical factors. We provide conceptual criteria for investment appraisal and a methodological approach to combine quantitative and qualitative data for the comparative assessment. We show an empirical application of this framework to assess ten I4.0 technology projects proposed in a multinational company. The application helps to illustrate the use of this tool. It brings new practical insights into how to organize I4.0 investment projects into the following categories: strategic or structuring, value-creating, and side investments. We also show the need to include several qualitative requirements and benefits in the technology evaluation to obtain a more robust view of Industry 4.0 investment priorities.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2022-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82346319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}