Journal: International Journal of Production Research

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Abbreviation

Int. J. Prod. Res.

Publisher

Taylor & Francis

Journal Volumes

ISSN

0020-7543
1366-588X

Description

Search Results

Publications1 - 10 of 30
  • Mizgier, Kamil J.; Pasia, Joseph M.; Talluri, Srinivas (2017)
    International Journal of Production Research
  • Zhang, Wei-Guo; Zhang, Qun; Mizgier, Kamil J.; et al. (2017)
    International Journal of Production Research
  • Wagner, Stephan M.; Krause, Daniel R. (2009)
    International Journal of Production Research
  • Gróf, Clemens; Netland, Torbjörn (2025)
    International Journal of Production Research
    A promising path toward closed-loop supply chains is to extend the lives of products. Instead of discarding worn-out products, they can be restored to a functional condition through product life-extending operations. Organising such operations at scale requires purpose-built industrial facilities. However, it also brings its own set of unique, context-driven productivity challenges. This study explores how product life-extending operations can be designed for increased productivity. In a multiple-case study, we collect in-depth qualitative data from nine industry-leading European companies with extensive and longstanding product life-extending operations. First, we derive a generic framework for product life-extending operations that describes critical decisions during the operational process. Second, we discover that a key roadblock to productivity is the need to interact repeatedly with both the product and the customer during the life-extending process. We use this to develop a theoretical model of productivity in product life-extending operations. In a post-hoc test with five other firms, we check the validity and generalizability of the proposed conceptual and theoretical models. Our findings can support practitioners and policymakers in increasing the industrial adoption of product life-extending operations.
  • Lorenz, Rafael; Senoner, Julian; Sihn, Wilfried; et al. (2021)
    International Journal of Production Research
    This paper proposes a data-driven procedure to improve productivity in make-to-stock manufacturing. By leveraging recent developments in information systems research, the paper addresses manufacturing systems with high process complexity and variety. Specifically, the proposed procedure draws upon process mining to dynamically map and analyse manufacturing processes in an automated manner. This way, manufacturers can leverage data to overcome the limitations of existing process mapping methods, which only provide static snapshots of process flows. By bridging data and process science, process mining can exploit hitherto untapped potential for productivity improvement. The proposed procedure is empirically validated at a leading manufacturer of sanitary products. The field test leads to three concrete improvement suggestions for the company. This research contributes to the literature on production research by demonstrating a novel use of process mining in manufacturing and by guiding practitioners in its implementation.
  • Mizgier, Kamil J.; Jüttner, Matthias P.; Wagner, Stephan M. (2013)
    International Journal of Production Research
  • Relationship archetypes in aftermarkets
    Item type: Journal Article
    Wagner, Stephan M.; Jönke, Ruben; Hadjiconstantinou, Eleni (2018)
    International Journal of Production Research
  • Schaltenbrand, Birte; Foerstl, Kai; Kach, Andrew P.; et al. (2015)
    International Journal of Production Research
  • Schmidt, Christoph G.; Yan, Tingting; Wagner, Stephan M.; et al. (2022)
    International Journal of Production Research
    Successful inter-organisational new product development (NPD) is a key source of competitive advantage, yet many NPD projects are still failing. To generate new insights on the phenomenon, we examine the performance implications of knowledge inputs among collaborating organisations, both in terms of external input ratio and input concentration. We test a set of hypotheses using multi-industry primary and secondary data on 210 inter-organisational NPD projects. Results support our hypotheses about the negative effect of input concentration on design quality, which in turn is positively associated with product market performance. Although we surprisingly find a negative linear effect of external input ratio on design quality, our post-hoc analysis confirms the relationship to be an inverse U-shaped relationship. We also find support for the roles of technology interdependence in moderating the performance implications of external input ratio and input concentration. By clarifying how knowledge inputs affect project outcomes under different levels of technology interdependence, the study provides managerial implications regarding how to select innovation partners in order to create a knowledge portfolio that best improves NPD project performance.
  • Kach, Andrew; Azadegan, Arash; Wagner, Stephan M. (2015)
    International Journal of Production Research
Publications1 - 10 of 30