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This paper aims to unfold the role that job rotation plays in a lean cell. Unlike many studies, the authors consider heterogeneous operators with dynamic performance factor that is impacted by the assignment and scheduling decisions. The purpose is to derive an understanding of the underlying effects of job rotations on performance metrics in a lean cell. The authors use an optimization framework and an experimental design methodology for sensitivity analysis of the input parameters.

The approach is an integration of three stages. The authors propose a set-based optimization model that considers human behavior parameters. They also solve the problem with two meta-heuristic algorithms and an efficient local search algorithm. Further, the authors run a post-optimality analysis by conducting a design of experiments using the response surface methodology (RSM).

The results of the optimization model reveal that the job rotation schedules and the human cognitive metrics influence the performance of the lean cell. The results of the sensitivity analysis further show that the objective function and the job rotation frequencies are highly sensitive to the other input parameters. Based on the findings from the RSM, the authors derive general rules for the job rotations in a lean cell given the ranges in other input variables.

The authors integrate the job rotation scheduling model with human behavioral and cognitive parameters and formulate the problem in a lean cell for the first time in the literature. In addition, they use the RSM for the first time in this context and offer a post-optimality analysis that reveals important information about the impact of the job rotations on the performance of operators and the entire working cell.

Line–cell conversion and rotation of operators between cells are common in lean production systems. Thus, the purpose of this study is to provide an integrated look at these two practices through integrating job rotation scheduling and line-cell conversion problems, as well as investigating the effect of rotation frequency on flow time of a Seru system.

First, a nonlinear integer programming model of job rotation scheduling problem and line–cell conversion problem (Seru-JRSP) was presented. Then, because Seru-JRSP is NP-hard, an efficient and effective invasive weed optimization (IWO) algorithm was developed. Exploration process of IWO was enhanced by enforcing two shake mechanisms.

Computations of various sample problems showed shorter flow time and less number of assigned operators in a Seru system scheduled through job rotation. Also, nonlinear behavior of flow time versus number of rotation periods was shown. It was demonstrated that, setting number of rotation frequency to one in line with the literature leads to inferior flow time. In addition, ability of developed algorithm to generate clusters of equivalent solutions in terms of flow time was shown.

In this research, integration of job rotation scheduling and line–cell conversion problems was introduced, considering lack of an integrated look at these two practices in the literature. In addition, a new improved IWO equipped with shake enforcement was introduced.

The purpose of this paper is to describe current physician scheduling and concomitant opportunities for improvement in public hospital departments in Sweden.

A total of 13 departments spread geographically across Sweden covering seven different specialties participated in the study. Data were collected through interviews with individuals involved in creating physician schedules. All departments investigated provided copies of the documents necessary for physician scheduling.

Physician scheduling required the temporal coordination of patients, physicians, non-physician staff, rooms and equipment. A six-step process for creating physician schedules could be distinguished: capacity and demand overview, demand goal and schedule setting, vacation and leave requests, schedule creation, schedule revision, and schedule execution. Several opportunities for improvement could be outlined; e.g. overreliance on memory, lacking coordination of resources, and redundant data entering.

The paucity of previous studies on physician scheduling lends an exploratory character to this study and calls for a more thorough evaluation of the feasibility and effects of the approaches proposed. The study excluded the scheduling of non-physician staff.

To improve physician scheduling and enable timeliness, three approaches are proposed: reinforcing centralisation, creating learning opportunities, and improving integration.

This paper is among the few to investigate physician scheduling, which is essential for delivering high quality care, particularly concerning timeliness. Several opportunities for improvement identified in this study are not exclusive to physician scheduling but are pervasive in healthcare processes in general.

Considering the varied and dynamic workload of vessel traffic service (VTS) operators, design an adaptive rotating shift solution to prevent them from getting tired while ensuring continuous high-quality services and finally guarantee a benign maritime traffic environment.

The problem of rotating shift in VTS and its influencing factors are analyzed first, then the framework of automatic identification system (AIS) data analytics is proposed, as well as the data model to extract spatial–temporal information. Besides, K-means-based anomaly detection method is adjusted to generate anomaly-free data, with which the traffic trend analysis and prediction are made. Based on this knowledge, strategies and methods for adaptive rotating shift design are worked out.

In VTS, vessel number and speed are identified as two most crucial factors influencing operators' workload. Based on the two factors, the proposed data model is verified to be effective on reducing data size and improving data processing efficiency. Besides, the K-means-based anomaly detection method could provide stable results, and the work shift pattern planning algorithm could efficiently generate acceptable solutions based on maritime traffic information.

This is a pioneer work on utilizing maritime traffic data to facilitate the operation management in VTS, which provides a new direction to improve their daily management. Besides, a systematic data-driven solution for adaptive rotating shift is proposed, including knowledge discovery method and decision-making algorithm for adaptive rotating shift design. The technical framework is flexible and can be extended for managing other activities in VTS or adapted in diverse fields.

The purpose of this paper is to investigate how the basic problem of ingroup favoritism in a setting of high task interdependence is addressed through an intervention strategy combining different approaches.

This paper reports on evidence from extensive field-based case research. It focuses on the holistic description of a single high-performance logistics setting and discusses the distinct but interrelated managerial approaches against the backdrop of behavioral theory.

Most notably, the authors examine how culturally specific factors such as people’s social ingroup-outgroup categorization is reduced through a continual rotation of jobs. Work relationships are purposefully depersonalized and consequently socially reframed through reference to the corporate philosophy. Likewise, behaviors, roles and responsibilities are redefined based on a purposeful reinterpretation of the corporate philosophy. The authors evaluate these desired behaviors against the background of the perceptions of work group members and describe how these guide actual behaviors.

The insights of this study exemplify how adverse behavioral effects that may occur in some socio-cultural contexts may be avoided through the appropriate design of operations.

This study employs a holistic approach to provide valuable insights into both practitioners and academics in the field of OM to counteract detrimental behavioral effects in real-world operations.

The purpose of this paper is to contribute to the literature on teamwork by focusing on the influence support systems, like industrial relations, have on teamwork. Teamwork is conceptualized through three dimensions; technical, governmental and normative.

The paper is based on a case study approach in a single company with available data over a long period of time.

Industrial relations conceptualized as local representation and partnership had a strong influence on all three dimensions of teamwork; technical, governmental and normative. Especially important is the union's involvement in the introduction of teamwork, shaping the arrangement and interpretation of it.

The paper is based on a single company, describing a particular phenomenon. Also, the contextual environment with a strong partnership culture with cooperative industrial relations is important.

The practical implications emphasize the importance for members of an organization to be involved in the introductory part of new organizational development such as teamwork in order to have an influence on arrangement of teams and the interpretation of teamwork.

The social implications are connected to industrial democracy and high level of involvement, which has consequences for the work environment in a company working along these lines.

There are not many available cases of semi‐autonomous teams working over a long period of time, and the paper gives an in‐depth understanding of the strength of this way of working. The main contribution is to highlight how local representation and labor‐management partnership has influenced the dimensions of teamwork.

The paper aims to investigate how teamwork contributes to successful maintenance practice within maintenance work in an industrial setting.

Qualitative data were gathered from a single case. This includes interviews, participatory observation and document collection.

The findings suggest that even though TPM is originally a technologically‐based concept, the explanations for success or failure are mainly organisational, pointing to management style, collaboration between maintenance and production, involvement and teamwork. This case study shows that a high degree of team autonomy was an important contributor to success; a point not previously emphasized in the literature.

The paper provides a deep understanding of a unique case, but should be supplemented with more data in order to reach general conclusions.

Many companies struggle with implementing total productive maintenance. The paper provides an understanding on how TPM can successfully be supported by teamwork.

Few case studies on TPM and teamwork are available. The main contribution of the paper is a deep understanding of teamwork and maintenance practices, and of including autonomy in TPM teams.

To respond to customer needs and achieve customized manufacturing, the manufacturing industry, as represented by electronics assembly companies, has embarked on a path of business model transformation (customer to manufacturer [C2M]). The purpose of this paper is to examine the practical application of assembly line-Seru conversion in a Chinese electronics assembly company during the C2M transition.

To begin with, this paper proposed a production line improvement scheme suitable for the conversion of C2M manufacturing enterprise assembly line-Seru based on an analysis of the difficulties encountered in the existing production line of A company in China. Then, a mathematical model was presented for the minimum value of the makespan and the maximum workers’ expenditure between Serus. Finally, the SA-NSGA-II algorithm and the entropy-weight TOPSIS approach were used to determine the optimal scheme for Seru unit, batch, product type and worker distribution.

Seru production and multiskilled workers are more suited to the C2M business model. The most effective strategy for worker allocation can reduce the number of employees and makespan in Serus. Additionally, the performance of the SA-NSGA-II algorithm and the method of selecting the optimal solution from the Pareto solution by the entropy-weighted TOPSIS method is also demonstrated.

Through a detailed study of how to transform the production line, other companies can apply the methods outlined in this article to shorten the delivery time, make full use of the abilities of workers and assign workers to specific positions, thereby reducing the number of workers, workers’ expenditure and improving the balance rate of production lines.

Given the scarcity of studies on the production method of C2M-type firms in the prior literature, this paper examined the assembly line-Seru conversion problem with the goal of minimizing the makespan and worker expenditure. To address the NSGA-II algorithm’s insufficient convergence, the simulated annealing process is incorporated into the method, which improves the optimization performance.

In order-picking activities, the performance of the system can be influenced by different variables such as the order to be fulfilled, the distance to be covered or the experience of operators. Usually, this kind of activity is performed by operators rather than machines to assure flexibility. Consequently, their fatigue accumulation can decrease the performance of the overall system. The purpose of this paper is to define the kind of device to be used in an order-picking context, to obtain data which can be utilized for the evaluation of the level of fatigue and to improve the performance of the picking system.

The paper presents a comparison between existing fatigue methods which can be applied in a picking context. In addition, an analysis of the physiological literature for the evaluation of a new device for the monitoring of fatigue level is carried on and its practical use is shown.

The proposed research identifies in the heart rate monitor the device that, thanks to its advantages, can be the best one to be used in an industrial context for monitoring the physical fatigue of operators.

This study considers the importance of human factors in picking activities such as physical fatigue of operators and the need to have validated tools to monitor and to define the level of fatigue accumulation in each activity of different rate and duration.

Graduate development programmes are a well-established strategy for recruiting graduates into the sector at the start of a lifetime public service career. There are indications, however, that public sector careers are becoming less secure and less long term in keeping with overall career trends across all sectors, a trend that has seen the emergence of employment contracts based on employability rather than job security. The purpose of this paper is to explore a graduate development programme offered by a state-based Australian public sector organisation to identify the extent to which it reflects and supports the shift to an employability-based contract from the perspective of programme participants.

Semi-structured interviews were conducted with 23 participants from three intakes of a public sector graduate development programme. Data were analysed through identification of first- and second-order themes as well as cross-case comparison.

Findings indicate that the one-year development programme partially supports an employability-based contract. The organisation could not promise ongoing employment and job security but did assist participants to develop skills and competencies for the future through its formal training and development programme. Work unit support for employability was, however, much more variable and depended to a large extent on line managers.

The study was conducted in a single organisation and only included current and past programme participants who were still employed in the public sector.

The success of the programme was largely dependent on job placement and level of line manager support. Addressing these areas through better programme design and management can support the development of future leaders through opportunities for enhanced employability.

The study extends current research on employability by exploring how a public sector organisation provides support for graduates in a developmental programme from a participant perspective.