Distributed simulation and industry: Potentials and pitfalls

We present the views of five researchers and practitioners of distributed simulation. Collectively we attempt to address what the implications of distributed simulation are for industry. It is hoped that the views contained herein, and the presentations made by the panelists at the 2002 Winter Simulation Conference will raise awareness and stimulate further discussion on the application of distributed simulation methods and technology in an area that is yet to benefit from the arguable economic benefits that this technique promises

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

Two Studies on The Use of Information Technology in Collaborative Planning, Forecasting & Replenishment (CPFR)

In the 1st study, I seek to determine whether there are trends in the coverage of the use of Information Technology in CPFR in support of Supply Chain Management. I look at the way technology is studied along two dimensions. The first dimension is the function within CPFR—Planning, Forecasting or Replenishment. The second dimension is level at which the study addresses use of the technology, whether at the Operational, Tactical or Strategic level. Within this 3x3 matrix, I seek to prove that studies would primarily fall along a line where the higher the level functions should be served by systems which have a longer-term orientation. This was broadly true, along with an emphasis on studies at the strategic level. Additionally, I find an underrepresentation of Forecasting, especially at the strategic level. The 2nd study seeks to determine the factors affecting IT system use for CPFR, in the real world. I examine the factors affecting system use along two dimensions. The first is along the company-level dimension. There are 3 points along the company-level dimension, defined as follows. Strategic use is defined as use by upper level management who are interested in the long term view of the organization and its processes and products. The Tactical use of IT for CPFR includes use by middle managers at a departmental level for medium term decision making. Operational level IT use covers functions which directly affect individual customers and keep the business running day to day. The second dimension along which system use is examined, is the functional-dimension. There are 3 points along this dimension and they are defined as follows. Use of IT for Planning, based on the VICS standard, is usually, but not exclusively under the purview of senior managers to determine what products to manufacture and the features they should have. Forecasting is done mainly by middle-managers in order to move enough products at the right time, to the right paces, while avoiding over-stocking each product. The Replenishment function is the actual process of moving items to the customer as they are ordered on-line or bought from the shelf. This is typically the job of operational logistics personnel such as purchasing and, shipping and delivery, as well as front-line staff such as customer service, shop-floor attendants or cashiers who interface directly with customers. In examining real world IT use for CPFR, I build on Simmonds, Haines & Li (2013) which looks at the trends and gaps in the IT literature as far as use of IT in CPFR was concerned. The aim is to determine whether the literature lines up with reality, or whether researchers are inherently biased when studying how Information Technology is used to support CPFR. A survey instrument was sent to 4000 senior managers in manufacturing and distribution companies. IT use along the STO dimension (Haines, Hough, & Haines, 2010) and its relationship with Industry characteristics (clock-speed of the industry and technological orientation) will be investigated in the context of the Technology Acceptance Model (TAM) (Fred D. Davis, 1989). Product factors (such as demand variability & luxury nature of the product) which drive IT use (Attaran & Attaran, 2007) along the PFR dimension will be investigated in the context of Technology Task Fit Theory (Goodhue & Thompson, 1995). Intra-firm trust (Frazier, Johnson, Gavin, Gooty, & Bradley Snow, 2010) and its effect on use on the PFR dimension, will be looked at with managerial influence within Innovation Diffusion theory (Rogers, 2010) as a basis. Trust issues including confidence of management in competence of workers and confidence of employees in dependability of IT

The Bi-objective Periodic Closed Loop Network Design Problem

© 2019 Elsevier Ltd. This manuscript is made available under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence (CC BY-NC-ND 4.0). For further details please see: https://creativecommons.org/licenses/by-nc-nd/4.0/Reverse supply chains are becoming a crucial part of retail supply chains given the recent reforms in the consumers’ rights and the regulations by governments. This has motivated companies around the world to adopt zero-landfill goals and move towards circular economy to retain the product’s value during its whole life cycle. However, designing an efficient closed loop supply chain is a challenging undertaking as it presents a set of unique challenges, mainly owing to the need to handle pickups and deliveries at the same time and the necessity to meet the customer requirements within a certain time limit. In this paper, we model this problem as a bi-objective periodic location routing problem with simultaneous pickup and delivery as well as time windows and examine the performance of two procedures, namely NSGA-II and NRGA, to solve it. The goal is to find the best locations for a set of depots, allocation of customers to these depots, allocation of customers to service days and the optimal routes to be taken by a set of homogeneous vehicles to minimise the total cost and to minimise the overall violation from the customers’ defined time limits. Our results show that while there is not a significant difference between the two algorithms in terms of diversity and number of solutions generated, NSGA-II outperforms NRGA when it comes to spacing and runtime.Peer reviewedFinal Accepted Versio

Welcome to OR&S! Where students, academics and professionals come together

In this manuscript, an overview is given of the activities done at the Operations Research and Scheduling (OR&S) research group of the faculty of Economics and Business Administration of Ghent University. Unlike the book published by [1] that gives a summary of all academic and professional activities done in the field of Project Management in collaboration with the OR&S group, the focus of the current manuscript lies on academic publications and the integration of these published results in teaching activities. An overview is given of the publications from the very beginning till today, and some of the topics that have led to publications are discussed in somewhat more detail. Moreover, it is shown how the research results have been used in the classroom to actively involve students in our research activities

The Conceptual Framework for Business Process Innovation: Towards a Research Program on Global Supply Chain Intelligence

This paper proposes a research program on Business Process Innovation: Towards Global Supply Chain Intelligence. Few words are more ubiquitous in business or society today than "innovation". This reflects that businesses are striving for ways to survive and thrive in an increasingly complex and connected world (IBM 2006). Most industrial supply chains today are globally scattered and nearly all organizations rely on their Enterprise Information Systems (ES) for integration and coordination of their activities. In this context innovation inevitably is driven by advanced information technology. Organizations today are required not only to operate effective business processes but they also need to accommodate to changing business conditions at an increasing rate. Consequently the ability to develop and implement new processes driven by the Enterprise Information Systems is a central competence in most industries, and furthermore it is a critical practice for a global enterprise. The next practice in Global Supply Chain Management is Business Process Innovation. Business Process Innovation is the transformation of a global supply chain driven by a new advanced Enterprise Information Systems technology. This technology holds the potential to "close the control loop", but until now few organizations have managed to unleash the full potential of global supply chain intelligence. Thus, there is an emerging need for managing the transformation and for new approaches that will lead to robust global supply chains. This paper presents a conceptual framework for Business Process Innovation. A research proposal based on five interrelated topics is derived from the framework. The research program is intended to establish and to develop the conceptual framework for business process innovation and to apply this framework in a global supply chain context. These topics are presented in the following sections, but first the background for the program is discussed.No keywords;

Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios

A railway system plays a significant role in countries with large territorial dimensions. The Brazilian rail cargo system (BRCS), however, is focused on solid bulk for export. This paper investigates the extreme performances of BRCS through a new hybrid model that combines TOPSIS with a genetic algorithm for estimating the weights in optimized scenarios. In a second stage, the significance of selected variables was assessed. The transport of any type of cargo, a centralized control of the operation, and sharing the railway track pushing competition, and the diversification of services are significant for high performance. Public strategies are discussed.Indisponível

Ecosystem-inspired enterprise modelling framework for collaborative and networked manufacturing systems

Rapid changes in the open manufacturing environment are imminent due to the increase of customer demand, global competition, and digital fusion. This has exponentially increased both complexity and uncertainty in the manufacturing landscape, creating serious challenges for competitive enterprises. For enterprises to remain competitive, analysing manufacturing activities and designing systems to address emergent needs, in a timely and efficient manner, is understood to be crucial. However, existing analysis and design approaches adopt a narrow diagnostic focus on either managerial or engineering aspects and neglect to consider the holistic complex behaviour of enterprises in a collaborative manufacturing network (CMN). It has been suggested that reflecting upon ecosystem theory may bring a better understanding of how to analyse the CMN. The research presented in this paper draws on a theoretical discussion with aim to demonstrate a facilitating approach to those analysis and design tasks. This approach was later operationalised using enterprise modelling (EM) techniques in a novel, developed framework that enhanced systematic analysis, design, and business-IT alignment. It is expected that this research view is opening a new field of investigation