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This paper aims to evaluate two operational modes of the worker allocation problem (WAP) in the multiple U-line system (MULS). Five objectives are optimised simultaneously for the most complicated operational modes, i.e. machine-dominant working and fixed-station walking. Besides, the benefits of using multiline workstations (MLWs) are investigated.

The elite non-dominated sorting differential evolutionary III (ENSDE III) algorithm is developed as a solution technique. Also, the largest remaining available time heuristic is proposed as a baseline in determining the number and utilisation of workers when the use of MLWs is not allowed.

ENSDE III outperforms the cutting-edged multi-objective evolutionary algorithms, i.e. multi-objective evolutionary algorithm based on decomposition and non-dominated sorting differential evolutionary III, under two key Pareto metrics, i.e. generational distance and inverted generational distance, regardless of the problem size. The best-found number of workers from ENSDE III is substantially lower than the upper bound. The MULS with MLWs requires fewer workers than the one without.

Although this research has extended several issues in the basic model of multiple U-line systems, some assumptions were used to facilitate mathematical computation as follows. The U-line system in this research assumed that all lines were produced only a single product. Besides, all workers were well-trained to gain the same skill. These assumptions could be extended in the future.

The implication of this research is the benefits of multiline workstations (MLWs) used in the multiple U-line system. Instead of leaving each individual line to operate independently, all lines should be working in parallel through the use of MLWs to gain benefits in terms of worker reduction, balancing worker’s workload, higher system utilisation.

This research is the first to address the WAP in the MULS with machine-dominant working and fixed-station walking modes. Worker’s fatigue due to standing and walking while working is incorporated into the model. The novel ENSDE III algorithm is developed to optimise the multi-objective WAP in a Pareto sense. The benefits of exploiting MLWs are also illustrated.

Researchers heavily investigated the use of industrial robots to enhance the quality of spray-painted surfaces. Despite its advantages, automating process is not always economically feasible. The manual process, on the other hand, is cheaper, but its quality is prone to the mental and physical conditions of the worker making it difficult to operate consistently. This research proposes a mathematical cost model that integrates human factors in determining optimal process settings.

Taguchi's robust design is used to investigate the effect of fatigue, stability of worker's hand and speed on paint consumption, surface quality, and processing time. A crossed array experimental design is deployed. Regression analysis is then used to model response variables and formulate cost model, followed by a multi-response optimization.

Results reveal that noise factors have a significant influence on painting quality, time, and cost of the painted surface. As a result, a noise management strategy should be implemented to reduce their impact and obtain better quality and productivity results. The cost model can be used to determine optimal setting for different applications by product and by industry.

Hardly any research considered the influence of human factors. Most focused on robot trajectory and its effect on paint uniformity. In proposed research, both cost and quality are integrated into a single objective. Quality is measured in terms of uniformity, smoothness, and surface defects. The interaction between trajectory and flow rate is investigated here for the first time. A unique approach integrating quality management, statistical analysis, and optimization is used.

The identification of fatigue status and early intervention to mitigate fatigue can reduce the risk of workplace injuries. Off-the-shelf wearable sensors capable of assessing multiple parameters are available. However, using numerous variables in the fatigue prediction model can elicit data issues. This study aimed at identifying the most relevant variables for measuring occupational fatigue among entry-level construction workers by using common wearable sensor technologies, such as electrocardiogram and actigraphy sensors.

Twenty-two individuals were assigned different task workloads in repeated sessions. Stepwise logistic regression was used to identify the most parsimonious fatigue prediction model. Heart rate variability measurements, standard deviation of NN intervals and power in the low-frequency range (LF) were considered for fatigue prediction. Fast Fourier transform and autoregressive (AR) analysis were employed as frequency domain analysis methods.

The log-transformed LF obtained using AR analysis is preferred for daily fatigue management, whereas the standard deviation of normal-to-normal NN is useful in weekly fatigue management.

This study was conducted with entry-level construction workers who are involved in manual material handling activities. The findings of this study are applicable to this group.

This is the first study to investigate all major measures obtainable through electrocardiogram and actigraphy among current mainstream wearables for monitoring occupational fatigue in the construction industry. It contributes knowledge on the use of wearable technology for managing occupational fatigue among entry-level construction workers engaged in material handling activities.

The purpose of this paper is to propose a model of assembly strategy generation and selection for human and robot coordinated (HRC) cell assembly. High‐Mix, Low‐Volume production in small production manufacturing industry, tends to employ more flexible assembly cells. The authors propose innovative human and robot coordinated assembly cells to solve the problem of persistent growing cost for human resources and occasional changes in programs and configurations for robots. The first issue is to find out an optimal way to allocate the assembly subtasks to both humans and robots.

A dual Generalized Stochastic Petri Net (GSPN) model is theoretically studied and then off line built based on a practical assembly task for human and robot coordination. Based on GSPN, Monte Carlo method is carried out to study the time cost and payment cost or possible strategies, and Multiple‐Objective Optimization (MOOP) method related Cost‐effectiveness analysis is adopted to select the optimal ones.

It is discovered that human and robot coordinated assembly can reduce the assembly time and meanwhile reduce the assembly cost. The authors demonstrate the effectiveness of this approach by comparing the simulation and experimental results.

The novelty with this work is that the human and robot coordinated flexible assembly cell, as the authors proved, is the main stream in small production in future due to the higher human source pressure from society and cost pressure upon the company. Based on this innovative work, the authors proposed a dual GSPN model to model the assembly task allocation process for human and robot, the model of which is also effective in modeling the possible robot and human behaviors.

The core of this paper is a reproduction of a study published in 1911 by Clark and Wyatt entitled “Scientific management as applied to women’s work”. The paper is significant because it provides a very early eyewitness “warts‐and‐all” account of scientific management as applied to women’s labor. It is also of interest because Frederick Taylor both read the work and corresponded with one of the authors. Hence it provides a rare insight into Taylor’s ideas regarding gender relations and the place of women in industry.

Electronics in the Service of Man. It has been estimated that the current publication of technical matter is 60 million pages annually. The task of the future research worker, therefore, is likely to be a heavy one as 25 per cent of the total time to complete any future research project may be needed to find, correlate and assimilate past knowledge. But the research worker of the future will have one big aid—an electronic machine, now being developed by the Battelle Memorial Institute, Ohio, U.S.A., which may be able to scan up to five million published documents per hour and identify those relating to the specific information needed.

The paper aims to present an approach to improve the organisation's productivity which is applicable in every industrial sector. The nucleus of the approach is to develop an optimal productivity strategy in an organization by the application of a uniform static model of productivity (Q4‐model), covering quantity and quality aspects and applicable to various sectors of industry, and a dynamic control cycle.

The study discusses the steps of the approach and presents three case studies from different industrial sectors where the approach has been applied.

The approach has proven to be uniformly applicable in all three cases from these different sectors, namely consultancy, health care and manufacturing. Across these applications highly different productivity‐related challenges, productivity strategies, and specific interventions are described in the perspective of the Q4‐model.

The approach is not made for measuring the quantity and quality input and output factors of productivity.

The approach succeeds in developing a productivity strategy which combines quantity and quality input and output factors and supports the transformation of a strategy analysis into a practical intervention.

The approach is unique in its uniform applicability to every industrial sector and is helpful to entrepreneurs, managers and innovators.

The work places in the forging factories are known to be particularly tiresome for the operators who have to work there. The noise, the heat, the weight of the parts to be handled, the place unctuosity are all elements which make the work hard and uncomfortable with a bad environment for the operators; and all this results in low productivity.

The purpose of this paper is to link Peter F. Drucker's seminal theoretical conceptions with empirical insights on what constitutes perception of effective knowledge worker leadership in an intercultural environment. Both a fundamental shift of mind in theorizing and much more empirical research is needed, to fully understand the underlying view of leadership as a socially distributed activity. However, in a true Druckerian spirit, to take this new lens on leadership is neither magic nor rocket science – but it constitutes a road visible but not yet seen.

The authors link key recommendations on expert leadership from the timeless 1999 Drucker paper on knowledge worker productivity to the results of qualitative in‐depth interviews with over 100 top‐level leaders and their direct reports in China, Indonesia, and Singapore. Because leadership is all about influencing other people, the authors are especially interested on what constitutes good leadership from the followers' point of view.

One of the key findings is that perceived leadership effectiveness heavily depends upon fit to followers' expectations. As a result, a leadership style, which is effective in one country can wreak havoc when unreflectively transferred into another cultural environment. Hence being able to step back and to reflect on the appropriateness of one's leadership behavior is the key element of a globally successful leader.

Too many experts are currently sent to foreign assignments without proper preparation for good adaptation of their leadership behavior. A new leadership conception informed by psychological consideration provides expert leaders with recommended action on how to best deal with the group dynamics resulting from dealing with the twenty‐first century's most valuable asset entrusted to their care. This mind‐shift will overcome leadership barriers to international business, and optimize knowledge work results.

This contribution is one of the first studies about perceived knowledge worker leadership effectiveness in Asia. Integration of the paper's findings with recent Western leadership conceptualizations focusing on sharing and distributing leadership responsibilities will help build a richer understanding.

I. Explains the two processes and gives the advantages of Ethylene Oxide. Examines the regulations to protect the environment and possible hazards to employees. II. Explains the technology of irradiating food to destroy bacteria and gives reasons why the procedure is being blocked in the USA. III. Looks at factors to be considered in designing assembly workstations and the benefits to be derived from such designs.