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Gives an overview of quantitative model‐based research in operations management, focusing on research methodology. Distinguishes between empirical and axiomatic research, and furthermore between descriptive and normative research. Presents guidelines for doing quantitative model‐based research in operations management. In constructing arguments, builds on learnings from operations research and operations management research from the past decades and on research from a selected number of other academic disciplines. Concludes that the methodology of quantitative model‐driven empirical research offers a great opportunity for operations management researchers to further advance theory.

The purpose of this study was to investigate 3D virtual reality (VR) situated activity, preschool reality and how the lecture teaching method affects technology university students' learning outcome.

The quasi-experimental design is used. Participants are 144 students in three classes who all take Child Development Assessment course. Research instruments include 3D VR animation, preschool live video and child development as the case. One class attended 3D VR situated activities, another observed preschool live video and the other takes a traditional lecture class. Learning outcomes were measured by two paper-and-pencil tests in different times and with one performance assessment. In the writing test, mechanical and meaningful questions were included.

Major findings of this study are, first, that the auxiliary learning of 3D VR is better than the real-life situation. Second, situational learning activities can enhance participant performance in context-based questions. In summary, this study found that well-organized 3D VR animation is more effective than live situation learning, especially for context-based course content.

The lack of random assignment into test groups leads to non-equivalent test groups which can limit the generalizability of the results to other student population.

The findings of this study suggest that teachers can gradually arrange learning activities, from 3D VR to a real applied workplace; situated learning activities are more likely to support the transfer knowledge to real-life problem solving.

The findings suggest that teachers in arranging the classroom context activities can be the first to use 3D VR before actual reality to avoid novices getting lost in the complicated real situations. If learning activities can be arranged gradually, from 3D VR to real applied workplace, situated learning activities can help students to deploy their newly acquired knowledge and skills in real-life problem solving.

I was attending a seminar run by John Wellens in South Africa in April 1972 when he said something which rang a loud bell — not only because it made good sense but because he gave impetus to something I had half‐heartedly been pursuing myself. What he said was that trainers should use the problems of the group to develop management and supervisory skill. Real life problems require real life decisions and place the learner in a situation where he must choose and act out his decision back on the job. In this way the learner knows whether or not his decision works out in practice.

Even if there are heavy transformations in technology, science, and society taking place in recent years, university courses often still emphasize head-on teaching methods with classic learning tools and resources. At the end of a course, students have then often acquired second hand knowledge, which is often detached from experience-based, constructive learning. The use of new media, the process of working in teams with application of these services, and problem-solving scenarios remain out of students’ grasp. In this contribution, we illustrate a participative and cooperative seminar setting between two German universities that tries to overcome those limitations. We describe the pedagogic design and the practical implementation of the course, list objectives and intentions and describe the organizational structure of the seminar.

The research in competitive facility location (CFL) is quite dynamic, both from a problem formulation and an algorithmic point of view. Research direction has changed immensely over the years to address various competitive challenges. This study aims to explore CFL literature to highlight these research trends, important issues and future research opportunities.

This study utilises the Scopus database to search for related CFL models and adopts a five-step systematic approach for the review process. The five steps involve (1) Article Identification and keyword selection, (2) Selection criteria, (3) Literature review, (4) Literature analysis and (5) Research studies.

The paper presents a comprehensive review of CFL modelling efforts from 1981 to 2021 to provide a depth study of the research evolution in this area. The published articles are classified based on multiple characteristics, including the type of problem, type of competition, game-theoretical approaches, customer behaviour, decision space, type of demand, number of facilities, capacity and budget limitations. The review also highlights the popular problem areas and dedicated research in the respective domain. In addition, a second classification is also provided based on solution methods adopted to solve various CFL models and real-world case studies.

The paper covers 40 years of CFL literature from the perspective of the problem area, CFL characteristics and the solution approach. Additionally, it introduces characteristics such as capacity limit and budget constraint for the first time for classification purposes.

Introduces the key issues in management development that this special issue aims to tackle. These include: what is management development? Why is management development worthy of our attention? What is to be learnt and when? What are the most effective techniques? Approaches the task from first principles looking at how work is changing, what managers actually do and how they can be most effective. Notes that classroom‐based learning is being abandoned in favour of on‐the‐job and project‐based learning but these approaches are not without difficulties either. The new approaches also make it imperative to tie the development program in with organizational strategy. In turn, this helps spread knowledge throughout the organization. Finally, considers the evaluation of development programs where learning becomes a two‐way process.

The paper presents modelling techniques for various situations in management decision problems, when a problem is considered as a cybernetic system. The following aspects of modelling have been discussed: (i) identification of isomorphic systems (particularly restricted isomorphic systems), (ii) cybernetic stochastic systems with applications in queueing and storage problems, (iii) forecasting problems, (iv) marketing problems, and (v) problems in planning and economic dynamics. Some examples are given.

The purpose of this paper is to deal with the transportation of a high number of injured people after a disaster in a highly populated large area. Each patient should be delivered to the hospital before the specific deadline to survive. The objective of the study is to maximize the survival rate of patients by proper assignment of existing emergency vehicles to hospitals and efficient generation of vehicle routes.

The concepts of non-fixed multiple depot pickup and delivery vehicle routing problem (MDPDVRP) is utilized to capture an image of the problem encountered in real life. Due to NP-hardness of the problem, a hybrid genetic algorithm (GA) is proposed as the solution method. The performance of the developed algorithm is investigated through a case study.

The proposed hybrid model outperforms the traditional GA and also is significantly superior compared to the nearest neighbor assignment. The required time for running the algorithm on a large-scale problem fits well into emergency distribution and the promptness required for humanitarian relief systems.

This paper investigates the efficient assignment of emergency vehicles to patients and their routing in a way that is most appropriate for the problem at hand.

It is widely considered that the advanced statistical quality improvement techniques (ASQIT) such as design of experiments and Taguchi methods form an essential part of the search for effective quality control. These quality improvement techniques are well established methodologies in which statisticians are formally trained. Research has shown that the application of these ASQIT for solving process quality problems by industrial engineers in manufacturing companies are limited and when applied they are often performed incorrectly. Presents a strategic and practical methodology with the aim of assisting industrial engineers to tackle manufacturing quality problems in a systematic and structured manner. The potential benefit of this practical methodology is its simplicity in usage and it is therefore readily accessible to the engineering fraternity for solving quality problems in real life situations. Also highlights the results of five industrial case studies which were used to validate and refine the methodology.

This study aims to propose an efficient optimization algorithm to solve the assembly line balancing problem (ALBP). The ALBP arises in high-volume, lean production systems when decision-makers aim to design an efficient assembly line while satisfying a set of constraints.

An improved genetic algorithm (IGA) is proposed in this study to deal with ALBP to optimize the number of stations and the workload smoothness.

To evaluate the performance of the IGA, it is used to solve a set of well-known benchmark problems and a real-life problem faced by an automobile manufacturer. The solutions obtained are compared against two existing algorithms in the literature and the basic genetic algorithm. The comparisons show the high efficiency and effectiveness of the IGA in dealing with ALBPs.

The proposed IGA benefits from a novel generation transfer mechanism that improves the diversification capability of the algorithm by allowing population transfer between different generations. In addition, an effective variable neighborhood search is used in the IGA to enhance its local search capability.