Towards a Novel Cooperative Logistics Information System Framework

Supply Chains and Logistics have a growing importance in global economy. Supply Chain Information Systems over the world are heterogeneous and each one can both produce and receive massive amounts of structured and unstructured data in real-time, which are usually generated by information systems, connected objects or manually by humans. This heterogeneity is due to Logistics Information Systems components and processes that are developed by different modelling methods and running on many platforms; hence, decision making process is difficult in such multi-actor environment. In this paper we identify some current challenges and integration issues between separately designed Logistics Information Systems (LIS), and we propose a Distributed Cooperative Logistics Platform (DCLP) framework based on NoSQL, which facilitates real-time cooperation between stakeholders and improves decision making process in a multi-actor environment. We included also a case study of Hospital Supply Chain (HSC), and a brief discussion on perspectives and future scope of work

Multi Agent Systems in Logistics: A Literature and State-of-the-art Review

Based on a literature survey, we aim to answer our main question: “How should we plan and execute logistics in supply chains that aim to meet today’s requirements, and how can we support such planning and execution using IT?†Today’s requirements in supply chains include inter-organizational collaboration and more responsive and tailored supply to meet specific demand. Enterprise systems fall short in meeting these requirements The focus of planning and execution systems should move towards an inter-enterprise and event-driven mode. Inter-organizational systems may support planning going from supporting information exchange and henceforth enable synchronized planning within the organizations towards the capability to do network planning based on available information throughout the network. We provide a framework for planning systems, constituting a rich landscape of possible configurations, where the centralized and fully decentralized approaches are two extremes. We define and discuss agent based systems and in particular multi agent systems (MAS). We emphasize the issue of the role of MAS coordination architectures, and then explain that transportation is, next to production, an important domain in which MAS can and actually are applied. However, implementation is not widespread and some implementation issues are explored. In this manner, we conclude that planning problems in transportation have characteristics that comply with the specific capabilities of agent systems. In particular, these systems are capable to deal with inter-organizational and event-driven planning settings, hence meeting today’s requirements in supply chain planning and execution.supply chain;MAS;multi agent systems

A framework for smart production-logistics systems based on CPS and industrial IoT

Industrial Internet of Things (IIoT) has received increasing attention from both academia and industry. However, several challenges including excessively long waiting time and a serious waste of energy still exist in the IIoT-based integration between production and logistics in job shops. To address these challenges, a framework depicting the mechanism and methodology of smart production-logistics systems is proposed to implement intelligent modeling of key manufacturing resources and investigate self-organizing configuration mechanisms. A data-driven model based on analytical target cascading is developed to implement the self-organizing configuration. A case study based on a Chinese engine manufacturer is presented to validate the feasibility and evaluate the performance of the proposed framework and the developed method. The results show that the manufacturing time and the energy consumption are reduced and the computing time is reasonable. This paper potentially enables manufacturers to deploy IIoT-based applications and improve the efficiency of production-logistics systems

The drug logistics process: an innovation experience

Purpose - The purpose of this paper is to present the latest innovations in the drug distribution processes of hospital companies, which are currently dealing with high inventory and storage costs and fragmented organizational responsibilities. Design/methodology/approach - The literature review and the in-depth analysis of a case study support the understanding of the unit dose drug distribution system and the subsequent definition of the practical implications for hospital companies. Findings - Starting from the insights offered by the case study, the analysis shows that the unit dose system allows hospitals to improve the patient care quality and reduce costs. Research limitations/implications - The limitations of the research are those related to the theoretical and exploratory nature of the study, but from a practical point of view, the work provides important indications to the management of healthcare companies, which have to innovate their drug distribution systems. Originality/value - This paper analyzes a new and highly topical issue and provides several insights for the competitive development of a fundamental sector

Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications

Exploring the omnichannel transformation of material-handling configurations and logistics capabilities in grocery retail

Grocery retail is going through a rapid shift. Consumers now expect to be able to shop online or in stores, get orders delivered when and where they want, and preferably as quickly as possible. This development is called omnichannel and means grocery retailers must transform their logistics networks to meet consumers’ evolving expectations and demands. The omnichannel transformation includes, for example, setting up new material handling (MH) nodes to pick online orders and investing in new automated systems. While this might sound straightforward, grocery retailers struggle to succeed with the omnichannel transformation, particularly in living up to consumers’ evolving expectations and becoming profitable. To develop theoretical and practical knowledge on this under-researched topic, this dissertation aimed to explore and understand the MH configurations and logistics capabilities needed in the omnichannel transformation of grocery retail and the dynamic capabilities required to manage such a transformation. In responding to this purpose, this dissertation makes several important contributions for researchers and practitioners who aim to understand how grocery retailers manage the omnichannel transformation and what they are doing to reconfigure MH configurations and logistics capabilities.The dissertation is based on the results of five articles from three separate but subsequent studies. The first study, a case study–inspired interview project, applied a contingency approach to explore the configurations of four manual online fulfillment centers (OFCs) in omnichannel grocery retail. The study captured key configurations, main challenges, and influential contextual factors. Study two, a multiple case study, focused on sorting in omnichannels. The study increased knowledge of sorting in omnichannels, and by combining empirical data with transvection theory, it also resulted in an artifact for analyzing and designing omnichannel sorting. The third and last study was a multiple case study of three grocery retailers and had a two-fold focus. First, this study moved beyond exploring specific aspects of the MH configurations and logistics capabilities in omnichannel grocery retail (OFC configuration and sorting) and focused on how and why grocery retailers manage the transformation by contextualizing dynamic capabilities. Second, study one revealed that investment in automation is as one key to being competitive in the omnichannel environment. Study three further explored automated online order picking systems and captured key configuration aspects, main performance objectives, and influential contextual factors. This dissertation contributes to the research by combining the findings from the three studies with literature on omnichannel logistics and MH in grocery retail, warehouse theory, and transvection theory to elaborate knowledge on what and dynamic capabilities to understand how. Moreover, a contingency approach helped investigate why grocery retailers invest in and reconfigure specific MH configurations and logistics capabilities, as well as why some grocery retailers are more successful than others with the omnichannel transformation. As a result, an elaborate and comprehensive framework arose that explains the what, how, and why of omnichannel grocery retail. The analysis and development of the framework revealed that omnichannel grocery retailers adapt their MH configurations and logistics capabilities to their external context to meet evolving customer expectations and requirements. Hence, the potential configurations and logistics capabilities that grocery retailers develop and invest in are influenced and constrained by the external context. The dynamic capabilities required to manage the omnichannel transformation could be identified by applying dynamic capabilities as a theoretical lens. The findings revealed that the identified dynamic capabilities enabling the transformation reside to a large extent on organization-level, both corporate and logistics