Improving value chain flexibility and adaptability in build-to-order environmentsEngelhardt-Nowitzki, Corinna
2012 International Journal of Physical Distribution & Logistics Management
doi: 10.1108/09600031211231317
Purpose – Given volatile markets, the ability to quickly act is fundamental for companies – in regard to the internal production and to external supply flows in the value network. Related flexibility and adaptability concepts are vague and contradictory. Managerial methods either imply a generic application level or a narrow focus. Thus, the purpose of this paper is to develop a three-step approach to facilitate a well-directed flexibility and adaptability design within a build-to-order context: context-specific operationalization, thorough segmentation using advanced logistic criteria and purposeful deduction of improvement means. Design/methodology/approach – Based on a thorough literature review, a procedural approach is developed and applied within two rigorously conducted company-cases. A triangulation setting is used within the empirical analysis. Findings – A company's capability to act appropriately, quickly and economically in the face of volatility can be remarkably advanced through context-specific analysis and well-reasoned segmentation. A respective approach to enhance flexibility and adaptability has to regard rational, emotional and cultural aspects. Research limitations/implications – The literature review is selective, not exhaustive. Two case studies cannot cover all thinkable aspects. Practical implications – The findings illustrate how flexibility and adaptability measures can be designed purposefully within a company-specific approach. Two potential directions of impact – uncertainty reduction and flexibility/adaptability improvement – are consolidated into significant criteria and applied to thoroughly classified areas in a feasible way. Originality/value – Current approaches do not apply a company-specific operationalization approach and are not based on segmentation or are using limited criteria. Besides, most approaches are neither designed for quick operationalization nor continuous application.
Product carbon footprint developments and gapsKronborg Jensen, Jesper
2012 International Journal of Physical Distribution & Logistics Management
doi: 10.1108/09600031211231326
Purpose – Over the last decade, multiple initiatives have been undertaken to learn how to capture the carbon footprint of a supply chain at a product level. The purpose of this paper is to focus on the process of standardization to secure consistency of product carbon footprinting (PCF) and to outline how the current developments in PCF support the need for a standardized method to measure and report environmental performance in supply chains. Design/methodology/approach – This paper is based on a literature review and a review of international standards for PCF which brings knowledge of PCF to the existing literature of green supply chain management. Findings – The multiple initiatives for standardization each improve the understanding of standardized methods of conducting PCF. At the same time, however, important differences exist between the standards in terms of the modelling framework to be used when conducting a PCF, and a paradox exists concerning methods for securing future standardization of PCF. Research limitations/implications – Standards for evaluating emission of greenhouse gases (GHGs) in supply chains are evaluated without consideration of other environmental impacts. In addition, the research only compares international standards, thereby excluding national initiatives. Practical implications – Standardization efforts can be expected to shape the future practice of measuring emission of GHGs in companies and supply chains which provides a framework for reducing impacts. Originality/value – Papers that outline the standardization process for PCF have been examined, but this paper adds value by categorizing the field, outlining the latest standards, and by being the first paper to compare standards for PCF on selected criteria and identify gaps.
Criteria for temperature alerts in cod supply chainsHafliðason, Tómas ; Ólafsdóttir, Guðrún ; Bogason, Sigurður ; Stefánsson, Gunnar
2012 International Journal of Physical Distribution & Logistics Management
doi: 10.1108/09600031211231335
Purpose – Wireless sensor network (WSN) technologies are now available to implement real time temperature monitoring systems in food supply chains. The aim of this paper is to examine different types of methods and criteria to establish alerts in decision support systems in perishable food supply chains. Design/methodology/approach – Logistic and temperature mapping was performed in cod supply chains to obtain data to establish criteria for temperature alerts. Data were collected for both ambient temperature and temperature of products packed in expanded polystyrene boxes. Findings – Alerts based on single criterion for ambient temperature resulted in false alerts when compared to criteria for product temperature. More complex methods that took into account both temperature abuse and the severity of the abuse resulted in more relevant alerts for the chilled cod supply chain. Research limitations/implications – The research is based on mapping of cod supply chains with a limited number of iterations. Practical implications – The scope of the research is the application of WSN in an actual supply chain of chilled cod transported from Iceland to Europe, which has relevance in assisting management decision making in the supply chain to prevent losses of quality and minimize waste. Originality/value – Failure to maintain a low temperature occurs frequently at handover points where alert systems are usually not in place. The theoretical implication of this paper is the development of a conceptual framework for setting up temperature criteria for real time decision support systems in food supply chains.
Dynamic capabilities and sustainable supply chain managementBeske, Philip
2012 International Journal of Physical Distribution & Logistics Management
doi: 10.1108/09600031211231344
Purpose – Most sustainable supply chains are situated in dynamic environments, which leads to the assumption that management of such chains requires the application of dynamic management theories, such as the dynamic capabilities (DC) concept. In spite of this, DCs have only scarcely been taken up in (sustainable) supply chain management (SSCM) research. The purpose of this paper is twofold: first, to discuss the complementarities of DCs and SSCM research; and second, to develop a framework which integrates DCs in SSCM practices. Design/methodology/approach – The paper is conceptual in nature and grounded in SSCM and DC theory. Relevant literature from the SCM, SSCM and DC context has been scrutinized. In total, three models from SSCM and DC literature, together with related inputs from other literature sources, have been conjoined. Findings – DC and SSCM are linked through similar environmental and organizational conditions, making the application of DC concepts in the field of SSCM a logical choice. The framework embeds specific DCs into SSCM practices. Research limitations/implications – The presented framework is a step towards building an analytical basis for future empirical research in this area. Discussion on the nature of DCs is still going on, as well as on how to measure supply chain performance. The framework can only give indications and help in the theory building process. Furthermore, the underlying frameworks used for the development of the framework presented here have been derived through different methodologies and not all of them have, as yet, been (fully) empirically tested. Practical implications – Investment in DCs and implementation of SSCM practices improves the agility of the overall supply chain and can lead to higher performance against the three dimensions of sustainability. Originality/value – The paper is the first explicit framework linking SSCM and DC theory. The framework shows that the DC concept can be and indeed should be applied to SSCM research and practice. Furthermore, explicit DCs are put forward. It is a step towards building an analytical basis for future empirical research in this area.
Revenue management in road-based freight transportationSchönberger, Jörn ; Kopfer, Herbert
2012 International Journal of Physical Distribution & Logistics Management
doi: 10.1108/09600031211231353
Purpose – Freight carriers operating in a spot-market environment are faced with uncertain future capacity demand, actual revenues, and properties of freight items. They require information about the expected future consumption of limited capacity to derive suitable request acceptance decisions. The purpose of this paper is to present a new idea to improve the handling of inaccurate information on the weight and volume of upcoming requests. Design/methodology/approach – The authors start with the definition of a new mathematical optimization model as the backbone of a capacity control system. This model is embedded within a rolling-horizon decision-making process involving consecutively arriving requests. Computational simulation experiments are carried out to evaluate the applicability and efficiency of the proposed decision support system. The authors investigate how the new model contributes towards keeping the negative impacts of inadequate forecasts of the expected volume of future requests as low as possible. Findings – In traditional application fields of capacity control (airline ticketing or hotel reservations) the physical extent of a request is always 1 (set/bed/room). In road-based freight transportation the variety of the physical extent of requests is much more complicated and complex. The major finding is that existing capacity control approaches are unable to meet the special requirements of road-haulage. Innovative capacity control features are necessary in order to cope with the higher request portfolio complexity. Originality/value – This paper addresses the requirements of a capacity control system for road-based freight transportation. An innovative decision support system is evaluated. For the first time, the authors present a comprehensive quantitative simulation study dedicated to this complicated decision-making situation.