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This study aims to present an automated guided logistics robot mainly designed for pallet transportation. Logistics robot is compactly designed. It could pick up the pallet precisely and transport the pallet up to 1,000 kg automatically in the warehouse. It could move freely in all directions without turning the chassis. It could work without any additional infrastructure based on laser navigation system proposed in this work.

Logistics robot should be able to move underneath and lift up the pallet accurately. Logistics robot mainly consists of two sub-robots, like two forks of the forklift. Each sub-robot has front and rear driving units. A new compact driving unit is compactly designed as a key component to ensure access to the narrow free entry of the pallet. Besides synchronous motions in all directions, the two sub-robots should also perform synchronous lifting up and laying down the pallet. Logistics robot uses a front laser to detect obstacles and locate itself using on-board navigation system. A rear laser is used to recognize and guide the sub-robots to pick up the pallet precisely within ± 5mm/1o in x-/yaw direction. Path planning algorithm under different constraints is proposed for logistics robot to obey the traffic rules of pallet logistics.

Compared with the traditional forklift vehicles, logistics robot has the advantages of more compact structure and higher expandability. It can realize the omnidirectional movement flexibly without turning the chassis and take zero-radius turn by controlling compact driving units synchronously. Logistics robot can move collision-free into any pallet that has not been precisely placed. It can plan the paths for returning to charge station and charge automatically. So it can work uninterruptedly for 7 × 24 h. Path planning algorithm proposed can avoid traffic congestion and improve the passability of the narrow roads to improve logistics efficiencies. Logistics robot is quite suitable for the standardized logistics factory with small working space.

This is a new innovation for pallet transportation vehicle to improve logistics automation.

Lean implementation is vastly incorporated in core manufacturing processes; however, its applicability in the supply chain and service industry is still in its infancy. To acquire performance excellence and thrive in the global competitive market, many firms are adopting newer methodologies. But, there is a stringent need for production simulation systems to analyze supply chains both inbound and outbound. The era of face validation is slowly disappearing. Lean tools and procedures that provide future state assumptions need advanced tools and techniques to measure, quantify, analyze and validate them. The purpose of this study is to enable dynamic quantification and visualization of the future state of a warehouse supply chain value stream map using discrete event simulation (DES) technique.

This study aimed to apply an integrated approach of the value stream mapping (VSM) and DES in a Malaysian pharmaceutical production warehouse. The main focus is diverted towards reducing the warehouse supply chain lead time by initially constructing a supply chain value stream map (both present state and future state) and integrating its data in a DES modelling and simulation software to dynamically visualize the changes in future state value stream map.

The DES simulation was able to mimic the future state lead time reductions successfully, which assists in better decision-making. Improvements were seen related to total lead time, process time, value and non-value-added percentage. Warehouse performance metrics such as receiving, put away and storage rates were substantially improved along with pallet processing time, worker and forklift throughput usage percentage. Detailed findings are clearly stated at the end of this paper.

This study is limited to the warehouse environment and further additional process models and functional upgrades in the DES software systems are very much needed to directly visualize and quantify all the possible Lean assumptions such as radio frequency image identification/Andon (Jidoka), 5S, Kanban, Just-In-Time and Heijunka. However, DES has a leading edge in extracting dynamic characteristics out of a static VSM timeline and capture details on discrete events precisely by picturizing facility modification and lead time related to it.

This paper includes all the fundamental pharmaceutical warehouse supply chain processes and the simulations of the future state VSM in a real-life context by successfully reducing supply chain lead time and allowing managers in inculcating near-optimal decision-making, controlling and coordinating warehouse supply chain activities as a whole.

This integrated approach of DES and VSM can involve managers and top management to support the adoption of anticipated changes. This study also has the potential to engage practitioners, researchers and decision-makers in the warehouse industry.

This study involves a powerful DES software package that can mimic the real situation as a virtual simulation and all the data and model building are based on a real warehouse scenario in the pharmaceutical industry.

The Csepel Machine Tool Company in Budapest has installed a flexible manufacturing system in which a robot, mounted on a carriage travelling on rails, moves between a series of machining centres feeding the machines with pallets carrying components. The components, mostly gearboxes, and their pallets weight up to 1,000kg. and the robot can serve the machines in any sequence.

The purpose of this article is to explore possible contributions to the development of models to define business networks conceptually, and identify and delineate them empirically by integrating concepts and ideas from “market exchange theory” originating in the works of Alderson.

Following a conceptual discussion defining business networks as a type of exchange system, empirical data were used to exemplify and illustrate the theoretical development ideas. From data on 22 business firms collected in 1999‐2001 in the form of transcribed interviews and other print documentation, a business network as a type of exchange system was identified comprising five business entities. This case serves as illustration to the remainder of the theoretical discussions throughout the paper.

Based on a conceptualisation of business networks as a type of exchange system and a notion of interaction encompassing exchange processes stemming from both market exchange theory and social exchange theory, it is suggested that business networks can be more consistently identified and delineated empirically using this theoretical base.

The empirical case is merely illustrative, and more extensive empirical work is needed to further test the ideas of business networks as a type of exchange system. The implications to the study of markets‐as‐networks are that these ideas can be used as a basis for identification, delineation and analysis of business networks.

This paper extends Alderson's work by suggesting a fourth type of transformation: transformation in ownership, as well as by developing a typology with five resource types in the exchange system. Furthermore, it provides a conceptual tool that can be used by researchers to identify, delineate and analyse business networks and incorporates market exchange theory.

This paper seeks to frame and model the environmental issues and impacts associated with the management of pallets throughout the entire life cycle, from materials to manufacturing, use, transportation to end‐of‐life disposal.

A linear minimum cost multi‐commodity network flow problem is developed to make pallet‐related decisions based on both environmental and economic considerations.

This paper presents a review of the environmental impacts associated with pallets by life cycle stage. The types of materials used to fabricate pallets, the methods by which they are treated for specific applications, and various pallet management models are described with respect to embodied energies, toxicity and emissions. The need for companies to understand the cost, durability, and environmental impact tradeoffs presented by pallet choices is highlighted. The paper introduces a model to assist in choosing both how pallets are managed and the material they are constructed of that balances these tradeoffs.

There is limited research on the environmental impact of different management approaches of large‐scale pallet operations. The proposed model and approach will provide companies seeking to engage in more sustainable practices in their supply chains and distribution with insights and a decision‐making tool not previously available.

Preface The functions of business divide into several areas and the general focus of this book is on one of the most important although least understood of these—DISTRIBUTION. The particular focus is on reviewing current practice in distribution costing and on attempting to push the frontiers back a little by suggesting some new approaches to overcome previously defined shortcomings.

This paper aims to explore the perceived impact of packaging logistics on the efficiency of freight transportation (EOT), and examine the interaction and relationship between packaging logistics and EOT.

The paper set up the conceptual model with seven hypotheses from the findings of previous literatures, and this model was tested with data and SEM.

The paper provided empirical insights about the perceived impact of packaging logistics on EOT and clarified the relative impact levels in the relationship between packaging logistics and EOT.

In spite of the chosen research approach, the perceived impact of information system on EOT may lack generalisability. Therefore, researchers are encouraged to test the proposed propositions in further studies.

Findings of this study can be used by practioners to improve EOT and by researchers to investigate further studies.

The paper fulfilled a need from previous literatures to clarify the interaction and relationship between packaging logistics and EOT.

This paper aims to discuss some relevant issues in the design and operation of material handling and storage systems (MH&SS) characterized by complex material flows and high‐traffic intensity. The paper seeks to provide solution examples and an analysis methodology to face large increases of materials flows through a redesign of the material handling and storage system.

At first, possible strategies to improve system performances when facing strong increments of material flows are presented and discussed. A significant case study is then analyzed in order to present a practical application of the proposed methodology. Resorting to discrete‐events simulation, the alternatives are verified, correct design choices are identified, and the resources are properly sized to develop a streamlined layout.

The paper recognises that design and upgrade of intensive material handling systems is a complex task asking for a careful study of alternatives and detailed system analysis, otherwise capacity problems and bottleneck phenomena may not be effectively solved.

This work focuses on a specific case study. The paper, therefore, will be of interest mainly to managers and designers of similar plants and large – intensive material handling systems.

The paper shows how the correct planning and analysis of design alternatives integrated with a detailed system simulation enable a drastic reduction of bottleneck phenomena, thus meeting the required capacity improvement goals when upgrading and redesigning complex and high‐volume material handling systems.

The paper, while providing insights to practitioners engaged in design and management of complex MH&SS, outlines a methodological approach which can be useful when facing major capacity improvement projects.

Pallets ensure efficient processes in logistics and are exchanged between the different actors, while passing through various supply chains several times. In common practice, the exchange is often not directly carried out on site, e.g. due to a lack of time, so that additional trips and new pallet purchases become necessary. To reduce these negative effects, a digital cross-actor platform is designed, and its potential is investigated.

The authors developed an agent-based simulation model with mathematical optimization. Using experience from practitioners, as well as real-world datasets which were analyzed, the authors ensure a realistic model of the pallet exchange system in Germany.

The authors demonstrated that, with the help of this platform concept, transport routes can be shortened, debts and receivables can partly be equaled out through balancing, and the quantity of pallets in the overall system can be reduced.

The results are not directly transferable to pallet exchange systems in other countries without considering their general settings.

Digital networking increases the efficiency of the existing pallet exchange system. Even small collaborations prove to be reasonable.

The authors developed new mechanisms for a digital pallet exchange platform, which takes on the role of a central planning instance, in addition to recording pallet receivables and debts. It enables the planning of the commodity flow of empty pallets, which are transported by the forwarders on regular routes, and distributed between the platform participants.

The purpose of this paper is to develop a quantitative model to assess probability of errors and errors correction costs in parts feeding systems for assembly lines.

Event trees are adopted to model errors in the picking-handling-delivery-utilization of materials containers from the warehouse to assembly stations. Error probabilities and quality costs functions are developed to compare alternative feeding policies including kitting, line stocking and just-in-time delivery. A numerical case study is included.

This paper confirms with quantitative evidence the economic relevance of logistic errors (LEs) in parts feeding processes, a problem neglected in the existing literature. It also points out the most frequent or relevant error types and identifies specific corrective measures.

While the model is general purpose, conclusions are specific to each applicative case and are not generalizable, and some modifications may be required to adapt it to specific industrial cases. When no experimental data are available, human error analysis should be used to estimate event probabilities based on underlying modes and causes of human error.

Production managers are given a quantitative decision tool to assess errors probability and errors correction costs in assembly lines parts feeding systems. This allows better comparing of alternative parts feeding policies and identifying corrective measures.

This is the first paper to develop quantitative models for estimating LEs and related quality cost, allowing a comparison between alternative parts feeding policies.