Leveraging Information Sharing to Increase Supply Chain Configurability

As supply chains evolve beyond the confines of individual organizations, collaboration has become the Holy Grail in supply chain technology. It plays a key role in achieving flexibility and responsiveness. Information sharing between partners is a key determinant of collaboration. This paper investigates information sharing in four different supply chains—3PL, VMI, CPFR, and supply networks—and compares their information sharing structures, shared data objects, and information flow models. The results show how the various parameters of an information flow model constrain the level of collaboration. Further, the modeling exercise provides insights on how to configure a collaborative supply chain by leveraging information sharing

Data and Predictive Analytics Use for Logistics and Supply Chain Management

Purpose The purpose of this paper is to explore the social process of Big Data and predictive analytics (BDPA) use for logistics and supply chain management (LSCM), focusing on interactions among technology, human behavior and organizational context that occur at the technology’s post-adoption phases in retail supply chain (RSC) organizations. Design/methodology/approach The authors follow a grounded theory approach for theory building based on interviews with senior managers of 15 organizations positioned across multiple echelons in the RSC. Findings Findings reveal how user involvement shapes BDPA to fit organizational structures and how changes made to the technology retroactively affect its design and institutional properties. Findings also reveal previously unreported aspects of BDPA use for LSCM. These include the presence of temporal and spatial discontinuities in the technology use across RSC organizations. Practical implications This study unveils that it is impossible to design a BDPA technology ready for immediate use. The emergent process framework shows that institutional and social factors require BDPA use specific to the organization, as the technology comes to reflect the properties of the organization and the wider social environment for which its designers originally intended. BDPA is, thus, not easily transferrable among collaborating RSC organizations and requires managerial attention to the institutional context within which its usage takes place. Originality/value The literature describes why organizations will use BDPA but fails to provide adequate insight into how BDPA use occurs. The authors address the “how” and bring a social perspective into a technology-centric area

Supply chain strategy and optimization in an outsourced environment

Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2005.Includes bibliographical references (leaves 77-78).Sun Microsystem's Network Storage (NWS) Division provides computer network storage hard disk arrays to accompany Sun's core server products. In recent years, all of the incumbent network storage providers, including Sun, have been squeezed by the combination of competitors encroaching on the low-end of the business and the increased commoditization of storage products. As a result, these incumbents are under pressure to reduce costs significantly, and are scrutinizing their supply chain to identify opportunities to improve performance. Most of the production of these storage products is outsourced through either OEM relationships or contract manufacturing, creating numerous challenges for managing the supply chain. This thesis sets forth a framework for improving supply chain performance, and applies it to the Sun's Network Storage group. The supply chain analysis framework used in this thesis suggests improving a supply chain by analyzing six key elements: Metrics, Benchmarking, Inventory Management, Cycle-Time, Design for Supply Chain, and Supply Chain Structure. Metrics were developed to improve supplier delivery. Benchmarking revealed Sun's competitive position.(cont.) Inventory management was improved with the implementation of a min-max inventory scheme to select products. Cycle-time was investigated via a direct shipment initiative and test time investigations. The upstream component led to product development recommendations. And the supply chain strategy of postponement of customization concept was developed. Key learnings include the relevance of metrics, the difficulty of moving down market, and a greater understanding of the impact product development has on operations. The research for this thesis was conducted during an internship at Sun Microsystems, within the Worldwide Operations group, in affiliation with the Leaders for Manufacturing program at the Massachusetts Institute of Technology.by John M. Clemens.S.M.M.B.A

Information Sharing as a Collaboration Mechanism in Supply Chains

Sharing information is regarded as one of the most effective ways of improving supply chain (SC) performance. However, the implementation of SC information sharing in practice is challenging. Effective information sharing across organizations with different objectives and perspectives means sharing the right information, at the right level of detail, using the right language, at the right time, in the right context, with the right people. A failure related to any one of these factors can lead to an information sharing breakdown. This paper introduces information sharing as an essential activity in all SC collaborative work. Since the scope of information sharing varies widely in the literature, the focus of this paper will be on how the absence of information sharing (i.e. asymmetric information) may affect the SC and how SC information sharing can be defined in terms of what, to whom and how information is shared, with an emphasis on the benefits and challenges of SC information sharing. Keywords: supply chains- asymmetric information- information sharing

Responsive Production in Manufacturing: A Modular Architecture

[EN] This paper proposes an architecture aiming at promoting the convergence of the physical and digital worlds, through CPS and IoT technologies, to accommodate more customized and higher quality products following Industry 4.0 concepts. The architecture combines concepts such as cyber-physical systems, decentralization, modularity and scalability aiming at responsive production. Combining these aspects with virtualization, contextualization, modeling and simulation capabilities it will enable self-adaptation, situational awareness and decentralized decision-making to answer dynamic market demands and support the design and reconfiguration of the manufacturing enterprise.The research leading to these results has received funding from the European Union H2020 project C2 NET (FoF-01-2014) nr 636909.Marques, M.; Agostinho, C.; Zacharewicz, G.; Poler, R.; Jardim-Goncalves, R. (2018). Responsive Production in Manufacturing: A Modular Architecture. 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LEVERAGE ONCE, EARN REPEATEDLY – CAPABILITIES FOR CREATING AND APPROPRIATING VALUE IN CLOUD PLATFORM ECOSYSTEMS

Information technology (IT) advancements enabled new delivery models (i.e. Cloud Computing), thereby facilitating the emergence of new business models in the IT industry, such as Cloud platform ecosystems. With their growing acceptance and diffusion in practice, we need a deeper understanding of their IT capabilities in order to implement their business model, thereby creating and appropriating value. We draw on empirical data from four case studies of Cloud platform ecosystems utilizing a framework on IT-enabled business models for data analysis. We found four key motivations for inter-firm collaboration that each generated business model requirements specified in the context of Cloud platform ecosystems. These drive the development of unique B2B IT capabilities enabling value crea-tion and appropriation mechanisms. We propose three dyadic (relation-specific) IT customization and two network IT standardization (network-oriented) capabilities based on our cross case analysis. Fur-thermore, we describe prevalent value creation and appropriation mechanisms and suggest two addi-tional mechanisms grounded in the data: downstream capabilities and platform resourcing. We pro-vide a possible reasoning on the underlying logic of IT capabilities, value creation and appropriation of Cloud platform ecosystems

Enhancing supply chain performance through supply chain practices

Abstract: The recognised relationship between company performance and supply chain performance has prompted managers, practitioners and researchers alike to seek a better understanding of the performance of supply chains. To this end, many firms have adopted and implemented various supply chain practices and enhanced collaboration and more recently e-collaboration within supply chains. Objectives: The aim of this study was to investigate how firms can enhance their supply chain performance through supply chain practices and supply chain e-collaboration. Method: A quantitative design was adopted in which a survey questionnaire was administered to a sample of 500 senior managers representing some 350 firms. A non-probability sampling employing convenience and purposive methods was used. A confirmatory factor analysis and structural equation modelling technique were undertaken to assess the psychometric properties of the measurement scale and to test hypotheses using the path modelling technique..

The Role of HR Practices in Enhancing Firm Supply Chain Performance

The supply chain management is an emerging discipline, which during the course of three decades has emerged from an operational function to a competitive strategy. The authors have employed different theoretical models to explain the success factors of supply chain management. The current study is carried out to explain the relationship between HR practices and supply chain performance. In addition to that the current study, is also interested in finding the impact of organizational culture in the relationship between a set of HR practices and supply chain performance. To achieve the research objectives, we have employed two step smart PLS technique, which is one of the robust SEM technique of recent times. We have used the smart PLS as statistical tool to achieve the research objectives the data by mean of an adapted survey instrument in the form of questionnaire is collectedfrom the operation and finance managers of Indonesian manufacturing firms. The results of the current study are providing support to the hypothesized results. The direct and indirect relations appear positive and significant. The current study which in author knowledge is among few pioneering studies on this issue, will be helpful for financial experts, operation managers, academicians, researchers and other policy makers in formulating policies

Data Quality and Interorganizational Information Systems: The Role of Electronic Catalogues

Electronic exchanges of information between Businesses have continued to grow. The question of data quality has always been understood to be an important area of research; but after 40 years, there is still a lack of research dealing with the quality of data exchanged between organizations. Even if the literature recognizes that Interorganizational Information Systems (IOSs) use can improve data quality, no research analyzes in depth how data quality can be improved by the implementation of an IOS. In this paper, we aim at understanding the contribution of electronic catalogues to data quality improvement in electronic data exchanges. Emerging from an exploratory case study of data flows between retailers and manufacturers in France, our results show that electronic catalogues can contribute to the improvement of several data quality dimensions

Emergent Frameworks for Decision Support Systems

Knowledge is generated and accessed from heterogeneous spaces. The recent advances in in-formation technologies provide enhanced tools for improving the efficiency of knowledge-based decision support systems. The purpose of this paper is to present the frameworks for developing the optimal blend of technologies required in order to better the knowledge acquisition and reuse in large scale decision making environments. The authors present a case study in the field of clinical decision support systems based on emerging technologies. They consider the changes generated by the upraising social technologies and the challenges brought by the interactive knowledge building within vast online communities.Knowledge Acquisition, CDDSS, 2D Barcodes, Mobile Interface