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

Pomiar wydajności zarządzania zielonymi łańcuchami dostaw

Only what is measured can be managed properly. And the measurement process should serve a continuous improvement of companies and whole supply chains. Data from the performance measurement system should cause an increase of cooperation and help in taking right decisions about changes at the operational level, and on the other hand, are an important information when redefining strategies. This will allow for the development of the supply chain based on knowledge, in which the scope of cooperation is literally unlimited (including green aspects). There are two basic approaches to measuring the performance of supply chains: a comprehensive measurement that measures the results of the entire chain (which can be divided into individual tiers and levels) and partial measurement when we measure only certain aspects. Often, in practice, only measurement of separately operating companies is practiced by companies, not throughout chains. And the problem is even more evident when it comes to measuring performance of green activities in integrated supply chains. The paper presents the possibilities of evaluation of GSCM performance. The major challenges and obstacles are presented and assessed.Tylko to, co jest mierzone, może być właściwie zarządzane. Proces pomiaru powinien służyć ciągłemu doskonaleniu przedsiębiorstw i całych łańcuchów dostaw. Dane z systemu pomiaru powinny powodować wzrost współpracy i pomagać w podejmowaniu decyzji o zmianach na poziomie operacyjnym, a z drugiej strony może to być ważna informacja przy przedefiniowaniu strategii. Pozwala to na rozwój łańcuchów dostaw opartych na wiedzy, gdzie zakres współpracy jest dosłownie nieograniczony (dotyczy to również aspektów ekologicznych). Istnieją dwa podstawowe podejścia do pomiaru wydajności łańcucha dostaw: kompleksowy pomiar, który patrzy na wyniki całego łańcucha (który można rozdzielić na poszczególne szczeble i poziomy), oraz pomiar częściowy, gdy mierzymy tylko niektóre aspekty. Często praktykowany jest tylko pomiar oddzielnie działających firm, a nie całego łańcucha. Problem jest jeszcze bardziej widoczny, jeśli chodzi o pomiar wydajności działań ekologicznych w zintegrowanych łańcuchach dostaw. W artykule opisano możliwości oceny wyników GSCM. Przedstawiono i oceniono główne wyzwania i przeszkody stojące przed pomiarem wyników zielonych łańcuchów dostaw

From supply chains to demand networks. Agents in retailing: the electrical bazaar

A paradigm shift is taking place in logistics. The focus is changing from operational effectiveness to adaptation. Supply Chains will develop into networks that will adapt to consumer demand in almost real time. Time to market, capacity of adaptation and enrichment of customer experience seem to be the key elements of this new paradigm. In this environment emerging technologies like RFID (Radio Frequency ID), Intelligent Products and the Internet, are triggering a reconsideration of methods, procedures and goals. We present a Multiagent System framework specialized in retail that addresses these changes with the use of rational agents and takes advantages of the new market opportunities. Like in an old bazaar, agents able to learn, cooperate, take advantage of gossip and distinguish between collaborators and competitors, have the ability to adapt, learn and react to a changing environment better than any other structure. Keywords: Supply Chains, Distributed Artificial Intelligence, Multiagent System.Postprint (published version

Enhancing the Supply Chain Performance by Integrating Simulated and Physical Agents into Organizational Information Systems

As the business environment gets more complicated, organizations must be able to respond to the business changes and adjust themselves quickly to gain their competitive advantages. This study proposes an integrated agent system, called SPA, which coordinates simulated and physical agents to provide an efficient way for organizations to meet the challenges in managing supply chains. In the integrated framework, physical agents coordinate with inter-organizations\' physical agents to form workable business processes and detect the variations occurring in the outside world, whereas simulated agents model and analyze the what-if scenarios to support physical agents in making decisions. This study uses a supply chain that produces digital still cameras as an example to demonstrate how the SPA works. In this example, individual information systems of the involved companies equip with the SPA and the entire supply chain is modeled as a hierarchical object oriented Petri nets. The SPA here applies the modified AGNES data clustering technique and the moving average approach to help each firm generalize customers\' past demand patterns and forecast their future demands. The amplitude of forecasting errors caused by bullwhip effects is used as a metric to evaluate the degree that the SPA affects the supply chain performance. The experimental results show that the SPA benefits the entire supply chain by reducing the bullwhip effects and forecasting errors in a dynamic environment.Supply Chain Performance Enhancement; Bullwhip Effects; Simulated Agents; Physical Agents; Dynamic Customer Demand Pattern Discovery

An integrated approach to supply chain risk analysis

Despite the increasing attention that supply chain risk management is receiving by both researchers and practitioners, companies still lack a risk culture. Moreover, risk management approaches are either too general or require pieces of information not regularly recorded by organisations. This work develops a risk identification and analysis methodology that integrates widely adopted supply chain and risk management tools. In particular, process analysis is performed by means of the standard framework provided by the Supply Chain Operations Reference Model, the risk identification and analysis tasks are accomplished by applying the Risk Breakdown Structure and the Risk Breakdown Matrix, and the effects of risk occurrence on activities are assessed by indicators that are already measured by companies in order to monitor their performances. In such a way, the framework contributes to increase companies' awareness and communication about risk, which are essential components of the management of modern supply chains. A base case has been developed by applying the proposed approach to a hypothetical manufacturing supply chain. An in-depth validation will be carried out to improve the methodology and further demonstrate its benefits and limitations. Future research will extend the framework to include the understanding of the multiple effects of risky events on different processe

Methodology for Designing Decision Support Systems for Visualising and Mitigating Supply Chain Cyber Risk from IoT Technologies

This paper proposes a methodology for designing decision support systems for visualising and mitigating the Internet of Things cyber risks. Digital technologies present new cyber risk in the supply chain which are often not visible to companies participating in the supply chains. This study investigates how the Internet of Things cyber risks can be visualised and mitigated in the process of designing business and supply chain strategies. The emerging DSS methodology present new findings on how digital technologies affect business and supply chain systems. Through epistemological analysis, the article derives with a decision support system for visualising supply chain cyber risk from Internet of Things digital technologies. Such methods do not exist at present and this represents the first attempt to devise a decision support system that would enable practitioners to develop a step by step process for visualising, assessing and mitigating the emerging cyber risk from IoT technologies on shared infrastructure in legacy supply chain systems

Developing supply chain maturity

This study introduces an empirical model of supply chain maturity and assesses its impact upon performance. Findings suggest that supply chain maturity is multi-dimensional including the areas of planning, sourcing, making, delivering, new product development, and returning. Valid and reliable measures, scales and supply chain maturity constructs were formulated and significant positive links found with multiple objective performance measures. The supply chain maturity framework is thus concluded to be robust for answering questions relating to where a supply chain is in developmental terms and what may be done to continue improving upon the design. Possible areas for further research and implications for managers are also raised.Supply Chain Design; Supply Chain Coordination;

Technic and Collaboration Breakdown Structures: Drivers of collaborative problem solving approaches in a supply chain context

Problem Solving Methodologies have been par excellence a cornerstone element of the firms’ strategy on achieving effective continuous improvement. But the enterprise evolution towards an extended environment characterized by network-based organization has radically changed the problem solving paradigms. This paper aims to propose a generic and collaborative methodology addressing more complex and distributed problems, dealing with Supply Chain issues and having a key role as a driver for building global competitive advantages and create superior performances at a Supply Chain level

Integrating supply chains: An investigation of collaborative knowledge transfers

This paper aims to empirically investigate the impact upon performance of explicit knowledge transfer in the integrated supply chain between a manufacturer and its external suppliers and customers. Literature derived hypotheses were evaluated using International Manufacturing Strategy Survey data from 338 companies. Valid and reliable scales were created via confirmatory factor analysis, and effects upon inventory performance tested via regression techniques. Whilst knowledge transfers from upstream and downstream directions were positively related to a manufacturer's performance, knowledge derived from customers was more powerful. Furthermore, integrated knowledge transfer- the combination of knowledge emanating from both suppliers and customers- had the strongest link to performance. The implications for practioners are that integrating knowledge across supply chains could be more far reaching than the exchange of assets, data and information usually considered in supply chain literature. Furthermore the current generalized approach to managing external knowledge is inadequate. This study expands upon existing literature by including directional implications as to which knowledge inflows are most valuable. For academics, this paper supports and extends existing literature by considering the supplier-manufacturer-customer triad in unison. The focus goes beyond asset, data and information exchange towards the leveraging of external knowledge. Relevant perspectives and dimensions were adopted from the knowledge management stream in order to add conceptual depth. Several areas of knowledge-based supply chain research have been identified as potential opportunities for further investigation.Supply Chain; Knowledge Management; Empirical Research:

Small and Medium sized Enterprises’ Collaborative Buyer-Supplier Relationships: Boundary Spanning Individual Perspectives

Boundary-spanning individuals (BSIs) play a critical role in supply chain management, especially in small and medium sized enterprises (SMEs) where interactions with buyers and suppliers can depend heavily on just a few individuals. This study, utilizing data from Korean manufacturing-sector SMEs, explores whether cooperative social value orientations of SMEs’ BSIs influence the effects of collaborative buyer-supplier initiatives. The results suggested that the performance implication of decision-sharing initiative increases when BSIs have a high level of cooperative social value orientation. However, it also negatively moderates the relationship between risk/benefit sharing (involving financial losses or gains) and performance suggesting possible negative side-effects. However, we found that such orientation also negatively moderates the relationship between risk/benefit sharing (involving direct financial losses or gains) and relationship performance suggesting possible negative side-effects