How Transdisciplinarity Can Help to Improve Operations Research on Sustainable Supply Chains—A Transdisciplinary Modeling Framework

Abstract

W e present a transdisciplinary modeling framework that enhances collaborative research on sustainable supply chain management (SSCM).Decision support concerning such systems is commonly provided using operations research (OR) methodologies. The quality of respective models depends on the appropriateness of both mathematical representation of the focal system and data input. Concerning this matter, OR faces severe criticism as groundwork is commonly neglected. This results in a lack of holistic understanding and in insufficient modeling of real-world problems. Crucial characteristics of the underlying system are often over simplified due to single-discipline assessments. Particularly, in the context of complex sustainability challenges, multiple nonacademic competencies and expertise are required. Although latest research indicates that collaborative research settings are highly beneficial regarding SSCM, a dearth of integration between disciplines exists. Therefore, we develop a conceptual framework that helps to overcome these shortcomings based on the paradigm of transdisciplinary research (TDR), which needs substantiation to enhance collaboration and to ensure applicability. Accordingly, we propose appropriate methodologies for each step within the framework. Overall, the framework enables holistic analysis of a focal system by providing a sound approach for SSCMoriented TDR projects. The value of the framework is eventually demonstrated by two cases that deal with SSCM issues.

Understanding approaches to complexity and uncertainty in closed-loop supply chain management: Past findings and future directions

“…Participatory approaches. A small number of papers describe the involvement of relevant actors for: (i) the development of a CLSC model or causal model (Narayana et al, 2014, Shamsuddoha, 2015; (ii) the selection and evaluation of optional CLSC options, such as reverse logistics options based on various criteria (e.g., Chithambaranathan et al, 2015, Jindal et al, 2015; (iii) the identification and convergence of understandings of CLSC options; and (iv) the identification of an agreement about the complex CLSC to be managed (Stindt et al, 2016). For the development of a CLSC model, participative group model building was used by Narayana et al (2014).…”

“…The papers focused on many different industries, such as electronics (Lehr et al, 2013), energy (Stindt et al, 2016), apparel (Martí et al, 2015), automotive (Jindal et al, 2015), carpets (Biehl et al, 2007), and photocopiers (Talaei et al, 2016). Hence, one could argue that…”

“…In the recent past, researchers', actors' and stakeholders' interests in transitioning towards closed-loop supply chain (CLSC) management have increased (De Brito et al, 2005, Fortes, 2009, Govindan et al, 2017, Guide et al, 2003, Narayana et al, 2014, Stindt et al, 2016, confirming the added value of such a transition in multiple economic, ecological and societal dimensions. A CLSC integrates a forward supply chain with a reverse supply chain, which is especially urgent for recoverable products that can be reprocessed and can re-enter a forward supply chain, with the aim of multiple value creation (Álvarez-Gil et al, 2007, Stindt et al, 2016. In Figure 1, this approach is visualized.…”

Interdisciplinary Research inSCM: Through the Lens of the Behavioral Theory of the Firm

“…Stindt et al () develop a transdisciplinary modeling framework that enhances collaborative research on sustainable SCM. A key problem in understanding and modeling real world problems is the oversimplification of the underlying systems when using a single discipline approach addressed in this paper.…”

Technology Innovation and New Business Models: Can Logistics and Supply Chain Research Accelerate the Evolution?

“…They conclude with a survey of the five papers accepted for publication in this special topic forum, including the works of Stindt et al. (), Stolze et al. (), Wowak et al.…”