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Multi‐skilling has been the most enduring element of patient‐focused care in the UK. A recent report from the Manchester University Health Service Management Unit (HSMU) extended the multi‐skilling debate and offered a framework for changing National Health Service workforce policy along multi‐skilling lines. Examines the main HSMU issues in the light of broader empirical and other evidence. Assesses the strengths, weaknesses, opportunities and threats to multi‐skilling. Concludes that multi‐skilling protagonists still face a number of challenges.

Using current Australian experience as a reference point, the costs and benefits of multi‐skilling are critically analysed. First, an attempt is made to identify key organisational elements involved in programmes of multi‐skilling at enterprise level. Secondly, some of the proposed benefits and possible costs associated with such developments are identified and discussed. Finally, some suggestions for future research and practice in the area are raised.

Restates some old truths and suggests some new areas within the special areas of maintenance multi‐skilling teams. Multi‐skilled teamworking, properly resourced as a cultural change process and not an administrative reform, can assure business success by making teamworking useful across the whole workforce. Discusses the flexibility of labour debate and the problems found when implementing multi‐skilled teams. Looks at what managers hope to gain from multi‐skilled teams and what is to be done as a result of these findings.

The purpose of this paper is to investigate the multi-skilled workers assignment problem in complex assembly systems such as aircraft assembly lines. An adaptive binary particle swarm optimization (A-BPSO) algorithm is proposed, which is used to balance the workload of both assembly stations and processes and to minimize the human cost.

Firstly, a cycle time model considering the cooperation of multi-skilled workers is constructed. This model provides a quantitative description of the relationship between the cycle time and multi-skilled workers by means of revising the standard learning curve with the “Partition-And-Accumulate” method. Then, to improve the accuracy and stability of the current heuristic algorithms, an A-BPSO algorithm that suits for the discrete optimization problems is proposed to assign multi-skilled workers to assembly stations and processes based on modified sigmoid limiting function.

The proposed method has been successfully applied to a practical case, and the result justifies its advantage as well as adaptability to both theory and engineering application.

A novel cycle time model considering cooperation of multi-skilled workers is constructed so that the calculation results of cycle time are more accurate and closer to reality. An A-BPSO algorithm is proposed to improve the stability and convergence in dealing with the problems with higher dimensional search space. This research can be used by the project managers and dispatchers on assembly field.

An agile supply chain (SC) is critical in achieving competitive advantages in the vulnerable environment. Based on the competence–capability–performance paradigm, this study aims to investigate how information technology (IT) usage and employee multi-skilling influence internal, supplier and customer agility that are the three dimensions of SC agility. It further explores relationships between SC agility dimensions and SC performance.

This study used a survey method to collect primary data and sampled 216 Chinese manufacturing firms in different industries. Construct validity and reliability were confirmed. Structural equation modeling was used to test hypotheses.

The findings indicate that internal agility is the baseline of SC agility, which improves supplier and customer agility. IT usage is more important than employee multi-skilling in facilitating SC agility. The former improves all three dimensions, whereas the latter only improves internal agility. Both internal and supplier agility can improve SC performance, whereas customer agility has no significant effect.

This study contributes to the SC agility literature in two folds. On the one hand, based on the dynamic capability perspective, this research clarifies three dimensions of SC agility and their interrelationships. On the other hand, integrating competence–capability–performance paradigm with information processing view, this research investigates the antecedent and outcome of SC agility. In addition, to date, this is one of the first studies to simultaneously examine the effect of two critical competencies, namely, IT usage and employee multi-skilling on SC agility.

Over the past five years manufacturing companies have been under increasing pressure, both social and economic, to become more flexible in staffing levels, working practices, hours of work, payment systems and the use of contract labour. As the role of manufacturing increases in the overall competitive strategy of many companies, maintenance will be increasingly pressurised to find ways of improving its cost effectiveness and quality of service. Multi‐skilling is an important way of reducing costs and improving performance. A description of the nature and extent of multi‐skilling among production and maintenance jobs in UK manufacturing industry is given and some of the operational costs and benefits of multi‐skilling are considered.

Attempts to introduce multi‐skilled “hotel services” workers in several NHS trusts have been studied using Scott‐Morgan’s Unwritten Rules of the Game methodology. In‐depth interviews reveal that, even for staff traditionally regarded as “marginal” and low paid, pride in helping patients is a powerful motivator, one which frequently ensures services are maintained, especially during periods of compulsory competitive tendering (CCT). A traditional “command and control” style of management and the fear engendered by CCT produced powerful barriers to different performance levels from multi‐skilling. We contrast this approach with a more emergent exercise fostered in a group of wards where responsibility for the ancillary workers was transferred to the wards’ director of nursing. These wards have now developed more highly motivated, confident support workers and demonstrate a number of resulting performance gains. We interpret the results in terms of the cultivation of a new pattern and a systemic positive feedback.

The demand variability in case of assembly line operations can be absorbed either by multi‐skilling of operators on the line, empowering them to handle a wider mix of work‐elements or by holding finished goods inventory. This paper examines trade‐offs between these two groups of policies by developing a simulation‐based model. Four policies are evaluated and their cost implications examined to enable decision makers to choose the best policy depending upon the situation specific parameters. A case study to illustrate the proposed model is presented and results are found to be insightful. A methodology to identify training needs in case of multi‐skilling is also developed.

The paper formulates a bi-objective mixed-integer nonlinear programming model, aimed at minimizing the total labor hours and the workload unfairness for the multi-skilled worker assignment problem in Seru production system (SPS).

Three approaches, namely epsilon-constraint method, non-dominated sorting genetic algorithm 2 (NSGA-II) and improved strength Pareto evolutionary algorithm (SPEA2), are designed for solving the problem.

Numerous experiments are performed to assess the applicability of the proposed model and evaluate the performance of algorithms. The merged Pareto-fronts obtained from both NSGA-II and SPEA2 were proposed as final solutions to provide useful information for decision-makers.

SPS has the flexibility to respond to the changing demand for small amount production of multiple varieties products. Assigning cross-trained workers to obtain flexibility has emerged as a major concern for the implementation of SPS. Most enterprises focus solely on measures of production efficiency, such as minimizing the total throughput time. Solutions based on optimizing efficiency measures alone can be unacceptable by workers who have high proficiency levels when they are achieved at the expense of the workers taking more workload. Therefore, study the tradeoff between production efficiency and fairness in the multi-skilled worker assignment problem is very important for SPS.

The study investigates a new mixed-integer programming model to optimize worker-to-seru assignment, batch-to-seru assignment and task-to-worker assignment in SPS. In order to solve the proposed problem, three problem-specific solution approaches are proposed.

Recently, there has been increasing focus on the development of multi-skilled workforce in project management. The purpose of this paper is to investigate a multi-skill project scheduling problem (MSPSP), which combines project scheduling and multi-skill personnel assignment. The distinct features of skill evolution and cooperation effectiveness are considered in the problem to maximize the total project effectiveness and skill development simultaneously.

The Bi-objective non-linear integer programming (LIP) models are formulated for the problem using three types of skill development objective function: number of experts, total skill increment and “bottleneck” skill increment. Non-linear models are then linearized through several linearization techniques, and the ε-constraint method is used to convert the bi-objective models into single-objective models.

A construction project case is used to validate the proposed models. In comparison with models that do not consider skill evolution and cooperation effectiveness, the models proposed in this paper offer more realistic solutions and show better performance with regard to both project effectiveness and skill development.

This research extends the current MSPSP by considering skill evolution based on the “learning effect” as well as the influence of cooperation in an activity-based team, which are common phenomena in practice but seldom studied. LIP models formulated in this paper can be solved by any off-the-shelf optimization solver, such as CPLEX. Besides, the proposed LIP models can offer better project scheduling and personnel assignment plan, which would be of immense practical value in project management applications.