Showing papers in "International Journal of Production Economics in 2015"

TL;DR: A thorough bibliometric and network analysis of the emergent field of green supply chain management provides insights not previously fully grasped or evaluated by other reviews on this topic.

TL;DR: In this paper, the authors present an interpretive framework that analyzes the definitional perspectives and the applications of big data and provide a general taxonomy that helps broaden the understanding of Big Data and its role in capturing business value.

TL;DR: In this article, the authors discuss the impact of additive manufacturing at both firm and industry level and derive a set of seven propositions which provide impetus for future research, including that in a monopoly, the adoption of AM allows a firm to increase profits by capturing consumer surplus when flexibly producing customized products.

TL;DR: In this article, the authors explore the impact of cost sharing contract on the key decisions of supply chain players undertaking green initiatives and show how product greening levels, prices and profits are influenced by cost sharing contracts within the supply chains.

TL;DR: The study investigates the impacts of supplier relationship management and total quality management on environmental performance under the influence of leadership and the moderation effect of institutional pressures using a pre-tested structured questionnaire and finds them to be a good fit based on confirmatory factor analysis and fit indices output.

TL;DR: In this paper, the authors examined whether plants that successfully implement lean management are characterized by a specific organizational culture profile and extensively adopt soft lean management practices, such as small group problem solving, employees training to perform multiple tasks, supplier partnerships, customer involvement, and continuous improvement.

TL;DR: The analytic network process (ANP) is used to deal with the interdependencies among the criteria, and the traditional Grey relational analysis (GRA) has been modified to better address the uncertainties inherent in supplier selection decisions.

TL;DR: In this paper, the authors propose a new basis for competitive advantage for manufacturing enterprises called a Big Data Strategy in servitization, which is a framework for combining Big Data and manufacturing services.

TL;DR: In this article, the authors proposed a novel analytical framework (Twitter Analytics) for analyzing supply chain tweets, highlighting the current use of Twitter in supply chain contexts, and further developing insights into the potential role of Twitter for supply chain practice and research.

TL;DR: A holistic Big Data approach to excavate frequent trajectory from massive RFID-enabled shopfloor logistics data with several innovations highlighted is proposed, which are able to guide end-users to carry out associated decisions.

TL;DR: In this paper, an in-depth case study of the upstream oil and gas industry supply chain in Brazil was used to develop propositions about supply chains that operate in developing and emerging settings.

TL;DR: Case studies results indicate that the proposed data analytic approach enable firms to utilise big data to gain competitive advantage by enhancing their supply chain innovation capabilities.

TL;DR: In this article, the authors present an analytical supply chain planning model that can be used to examine the supply chain performance at the tactical/operational planning level under carbon pricing and carbon emissions trading.

TL;DR: The 6C framework is developed to analyze the data collected from case companies, and three patterns of IoT-based business ecosystem are identified, which provide a summary of practical implications to guide practitioners building an IoT- based business ecosystem.

TL;DR: It is expected that the VSM framework will help the development teams to reduce the PD lead-time by 50% and exploit lean thinking concepts in order to manage, improve and develop the product faster while improving or at least maintaining the level of performance and quality.

TL;DR: The analysis of how innovative use of recent technological developments could potentially lower the barriers to multimodal ICT adoption and lead to a more integrated freight transport network is analyzed.

TL;DR: A novel methodological approach based on a Bayesian framework and Monte Carlo Markov Chain simulation is developed to rank and select suppliers using specific selection objectives and provides a wealth of information about supplier performance, which form the basis for additional statistical analyses.

TL;DR: In this article, a Stackelberg game model is used to investigate the optimal decisions of local advertising, used-product collection and pricing in centralized and decentralized closed-loop supply chains.

TL;DR: Wang et al. as mentioned in this paper identified risk information sharing and risk sharing mechanism as two important joint supply chain risk management practices and argued that the effectiveness of these two joint practices in improving financial performance can be strengthened by collaborative relationship characteristics including relationship length, supplier trust, and shared SCRM understanding.

TL;DR: In this paper, the authors diagnose the organizational culture of Tehran's pharmaceutical companies, investigate the implementation of different categories of TQM in these companies, and compare two models explaining the relationships among culture, TQMs and performance according to the preferential structural equation model.

TL;DR: The goal of this paper is to develop a new framework that can provide organizations a holistic roadmap in conceptualizing, planning and successfully implementing Big Data projects and to validate this framework through the observation of a descriptive case study of an organization that has implemented such a project.

TL;DR: Quality and innovation are not a matter of trade-off, but they can coexist in a cumulative improvement model with quality as a foundation and firms have no need to abandon QM endeavor to achieve innovation.

TL;DR: A radio frequency identification-based intelligent decision support system architecture to handle production monitoring and scheduling in a distributed manufacturing environment that has good extensibility and scalability and can easily be integrated with production decision-making as well as production and logistics operations in the supply chain is proposed.

TL;DR: An integrated method for dealing with integrated supplier selection and order allocation using a combined Analytic Hierarchy Process–Quality Function Deployment and chance constrained optimization algorithm approach that selects appropriate suppliers and allocates orders optimally between them is proposed.

TL;DR: In this article, a multi-period Inventory Routing Problem (IRP) model was proposed to evaluate CO2 emission and fuel consumption, perishability, and a service level constraint for meeting uncertain demand.

TL;DR: In this article, the authors extended existing work by integrating unified theory of acceptance and use of technology (UTAUT) and individual differences, namely personality (neuroticism, conscientiousness, openness to experience, agreeableness and extraversion) and demographic characteristics (i.e. age and gender) to predict the adoption of RFID in the healthcare supply chain.

TL;DR: In this paper, the authors investigated the relationship between the disclosure of corporate social performance and the financial performance and found that the categories of Human Rights, Society as well as Product responsibility display a significant and positive correlation with the return on equity.

TL;DR: An IoT-enabled SHIP for enhancing the effectiveness and efficiency of sharing physical assets and services is proposed and PASS is introduced as a new business model for supporting the sharing approach.

TL;DR: In this paper, a model is proposed that takes into account the link between an inventory policy (EOQ), total carbon emissions, and both price and environmental dependent demand, and two optimal quantities are determined which maximize a retailer's profit and which minimize carbon emissions.

TL;DR: An IOT infrastructure for collaborative warehouse order fulfillment based on RFID, ambient intelligence and multi-agent system that integrates a bottom-up approach with decision support mechanisms such as self-organization and negotiation protocols between agents based on "com-peration=competition+cooperation" concept is proposed.