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In the present condition of intense global competition, the survival of a firm becomes the underlying issue. How to regain competitive advantage and promote synergism is the greatest concern for entrepreneurs who have lost many of their market opportunities. Introduces a procedure for practitioners to follow in establishing effective management systems, which aims to make a fundamental change and continual improvement in managerial and operational structures. Claims that an expandable nerve‐type management information network of the company as a whole can be built systematically by following this procedure. This procedure is essentially a combined technique that guides practitioners through the processes of system development planning and decision making, potential problem analysis, correction, integration, and control. Demonstrates, by means of case examples and the results of a survey, that it can be concluded that the use of the combined technique is beneficial for the promotion of system performance.

This paper aims to focus on time-constrained interactions involving industry and public actors, mainly universities, conducting research. This kind of interaction has become increasingly important to develop new pharmaceuticals, especially antibiotics. The proposed theoretical frame relies on industrial marketing and purchasing’s interactive perspective on inter-organizational relationships and especially the activities, resource, actors model, combined with key concepts on temporary organizing and project management. This study identifies the temporality and time constraints imposed by this project on public–private interactions, specific coordination tools used to create such temporality and time constraints and their consequences, including positive and negative effects for the interacting parties.

The study builds on a single in-depth qualitative case study of a major antibiotics R&D collaboration project called ENABLE.

For negative consequences, this model includes the need for constantly rebuilding trust due to fast turnover of actors, difficulties in combining resources as efficiently as possible, resource constraints, bottlenecks and neglect of some activities, such as publishing, which are normally pivotal for universities. Despite these problematic consequences of temporality, resources are rapidly made available and new competencies learned quickly. Another positive effect is the possibility to achieve complex adaptations of resources and activities even in short time frames. Importantly, projects can act as a springboard for the parties to continue collaboration and in the long term develop a continuous business relationship.

Based on the findings the authors develop a model of time-constrained inter-organizational interaction between public and private organizations.

This paper aims to present the application of situation calculus for knowledge representation in missing persons investigations.

The development of a knowledge representation model for the missing persons investigation process based upon situation calculus, with a demonstration of the use of the model for a missing persons example case.

Situation calculus is valuable for knowledge representation for missing persons investigations, as such investigations have state changes over time, and due to the complexity of the differing investigation activities applicable to different situations, can be difficult to represent using simpler approaches such as tables or flowcharts.

Situation calculus modelling for missing persons investigations adds formalism to the process beyond that which can be afforded by the current use of text, tables or flowcharts. The additional formalism is useful in dealing with the uncertainty present in such investigations.

The implications are a simplification of the application of the current police guidelines, and thoroughness in the application of such guidelines for missing persons investigations via situation calculus modelling.

This paper supports the management of missing person investigations, by using the most critical variables in a missing persons investigation to determine relevant investigation and search activities applicable to the circumstances of a given case.

The novelty of the knowledge representation approach is the application of situation calculus via state and action vectors and a matrix of fluents to the process of missing persons investigations.

This paper aims to compare the prognostic and visualisation capabilities of all the three simulation paradigms to identify their suitability and rigor in eliminating weaknesses and bottlenecks in a Lean Six Sigma (LSS) project.

The paper uses an light-emitting diode (LED) factory as a business case to show the differences and advantages of using three different simulation techniques to solve a manufacturing problem.

Even though this is only one business case that shows how system dynamics (SD) can be effective in a Six Sigma manufacturing project, more examples are needed to validate this hypothesis within Six Sigma and Lean manufacturing fields. Even though, discrete-events (DE) and agent-based (AB) models are both equally well suited to develop the manufacturing processes and the choice of what to use may be arbitrarily dependent on the available software or the preference of the modeller, hybrid models seem to become extremely powerful. Therefore, more hybrid models need to be constructed within LSS (especially when a flowchart and a SIPOC ((Suppliers, Inputs, Process, Outputs and Customers) table are combined to develop a hybrid model) to achieve the most accurate results with accurate representation of reality.

There are three commonly used simulation techniques, DE, AB and SD, but choosing the right simulation methodology has often been a challenge.

Decision system analysis is a conceptually simple technique that maps the process of group decisions over time. The data is gathered in a variety of ways, but most often some form of protocol analysis is the foremost tool. The data is then condensed and depicted as a flowchart for a specific decision. If several such flowcharts can be assembled within an industry, they can be melded together to form a generic guide that is very useful to practitioners and very interesting to theorists. Here, a brief history of the development of the technique leads to a description of the process. This is followed by a comparison to cognitive mapping (a similar technique applied to mapping thought processes rather than physical processes), and an illustrative longitudinal example of DSA.

Instructional materials enhance the teaching/learning process by exhibiting information necessary to acquire knowledge and skills. Focuses on printed forms of instructional materials and provides detailed information, including examples, on five types of job performance aids, three types of instruction sheets, and two types of modules. Checklists of considerations that affect the quality of finished products are also provided. Job performance aids (JPAs)provide procedural or factual guidance in the performance of tasks. They store essential details in a variety of functional forms for use just before or during task performance. Research shows that JPAs are a cost‐effective supplement or alternative to training. They reduce the time needed to master task performance and facilitate the transfer of learning from the training setting to the job. Instruction sheets assure that all trainees have the same complete and accurate information for performing practical work and for completing assignments. These sheets also help manage large groups of trainees with diverse abilities who are working simultaneously at several different tasks. Modules are carefully structured documents which facilitate self‐directed and self‐paced learning. While their components may vary, modules typically include learning objectives, an introduction, instructional content, directions, learning activities, and test questions with feedback answers. With modules, trainees assume personal responsibility for their progress. Regardless of the care used in their preparation, all types of instructional materials must be evaluated prior to general use. Presents a comprehensive quality control procedure for confirming effectiveness and value. This was prepared to enhance both formal classroom instruction and individual study. Figures, tables, checklists, appendices, and a glossary of keywords and terms, supplement the text in explaining the content.

Dimensional quality of sheet metal assemblies is an important factor for the final product. However, the part tolerance is not easily controlled because of the spring back deformation during the stamping process. Selective assembly is a means to decrease assembly tolerance of the assembly from low-precision components. Therefore, the purpose of this paper is to propose a fully efficient method of selective assembly optimization based on an improved genetic algorithm for optimization toolbox (IGAOT) in MATLAB.

The method of influence coefficient is first applied to calculate the assembly variation of sheet metal components since the traditional rigid assembly variation model cannot be used due to welding deformation. Afterwards, the IGAOT is proposed to generate optimal selective groups, which consists of advantages of genetic algorithm for optimization toolbox (GAOT) and simulated annealing.

The cases of two simple planes and the tail lamp bracket assembly are used to illustrate the flowchart of optimizing combinations of selective groups. These cases prove that the proposed IGAOT has better precision than that of GAOT with the same parameters for selective assembly.

The research objective of this paper is to evaluate the changes from rigid bodies to sheet metal parts which are very complex for selective assembly. The method of IGAOT was proposed to the selected groups which has better precision than that of current optimization algorithms.

This paper aims to discuss a comprehensive survey on fuzzy-based clustering techniques. The determination of an appropriate sensor node as a cluster head straightforwardly affects a network’s lifetime. Clustering often possesses some uncertainties in determining suitable sensor nodes as a cluster head. Owing to various variables, selection of a suitable node as a cluster head is a perplexing decision. Fuzzy logic is capable of handling uncertainties and improving decision-making processes even with insufficient information. Then, state-of-the-art research in the field of clustering techniques has been reviewed.

The literature is presented in a tabular form with merits and limitations of each technique. Furthermore, the various techniques are compared graphically and classified in a tabular form and the flowcharts of important algorithms are presented with pseudocodes.

This paper comprehends the importance and distinction of different fuzzy-based clustering methods which are further supportive in designing more efficient clustering protocols.

This paper fulfills the need of a review paper in the field of fuzzy-based clustering techniques because no other paper has reviewed all the fuzzy-based clustering techniques. Furthermore, none of them has presented literature in a tabular form or presented flowcharts with pseudocodes of important techniques.

The ageing of the world’s population is causing an increase in the number of frail patients admitted to hospitals. In the absence of appropriate management and organisation, these patients risk an excessive length of stay and poor outcomes. To deal with this problem, the purpose of this paper is to propose a conceptual model to facilitate the pathway of frail elderly patients across acute care hospitals, focussed on avoiding improper wait times and treatment during the process.

The conceptual model is developed to enrich the standard flowchart of a clinical pathway in the hospital. The modified flowchart encompasses new organisational units and activities carried out by new dedicated professional roles. The proposed variant aims to provide a correct assessment of frailty at the entrance, a better management of the patient’s stay during different clinical stages and an early discharge, sending the patient home or to other facilities, avoiding a delayed discharge. The model is completed by a set of indicators aimed at measuring performance improvements and creating a strong database of evidence on the managing of frail elderly’s pathways, providing proper information that can validate the model when applied in current practice.

The paper proposes a design of the clinical path of frail patients in acute care hospitals, combining elements that, according to an evidence-based management approach, have proved to be effective in terms of outcomes, costs and organisational issues. The authors can, therefore, expect an improvement in the treatment of frail patients in hospital, avoiding their functional decline and worsening frailty conditions, as often happens in current practice following the standard path of other patients.

The framework proposed is a conceptual model to manage frail elderly patients in acute care wards. The research approach lacks application to real data and proof of effectiveness. Further work will be devoted to implementing a simulation model for a specific case study and verifying the impact of the conceptual model in real care settings.

The paper includes suggestions for re-engineering the management of frail elderly patients in hospitals, when a reduction of lengths of stay and the improvement of clinical outcomes is required.

This paper fulfils an identified need to study and provide solutions for the management of frail elderly patients in acute care hospitals, and generally to produce value in a patient-centred model.

Research and experience have shown that job performance aids (JPAs) are a cost‐effective alternative or supplement to training. Based on job and task analysis information, they store essential details on performance in a variety of functional and durable forms for use just before or during task performance. Although most JPAs are in printed (hard copy) form, a series of illustrations or directions on an audio or video tape as well as information on a computer screen are also JPAs when they reduce the amount of information to be remembered, specify what actions to take, and indicate when to take each action. The five basic types of JPAs are procedural guide, worksheet, checklist, decision table and flowchart. Describes each type and provides preparation guidelines, along with examples. Also presents important information on layout and format, including the use of illustrations and how to provide emphasis, as well as on effective writing. A comprehensive four‐step quality control procedure describes how the effectiveness and value of JPAs can be confirmed.