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The purpose of this paper is to examine the contribution that problem structuring methods – a branch of the decision support discipline of operational research – have made in helping managers deal with situations of high complexity. The paper reviews the limitations of traditional operational research and argues that problem structuring methods have expanded the entire discipline and significantly contributed to its holistic nature and problem-solving orientation.

The paper provides a critical discussion of the limitations of the traditional operational research approach and examines how the development and successful application of problem structuring methods have opened up a new paradigm of analysis in management science.

In theoretical terms, problem structuring methods have moved the discipline of operational research away from its positivistic epistemology and towards interpretivism and the acceptance of a subjective social reality. In practical terms, they offer managers a broad range of appropriate analytical tools which provide transparency and offer the opportunity to those affected by the problem situation to be actively involved in the entire modelling process within a facilitated environment.

The paper offers a critical discussion of the contribution that problem structuring methods have made while also identifying the challenges they face as they try to achieve higher levels of recognition and acceptance in management science.

The information technology (IT) outsourcing (ITO) decision is a key issue in strategic and operational management and is considered a main critical factor influencing successful organizational performance and technology assessment. The purpose of this paper is to propose a framework combining value-focused thinking (VFT) methodology and the FITradeoff method to support decisions regarding ITO.

This study answers the following questions: How to identify, in a structured way, the objectives that should be considered in an ITO decision process in a changing environment? How to identify new IT services to be outsourced from the established objectives? The VFT method is recommended in this case to structure and model the problem. Moreover, the FITradeoff multicriteria method was considered in this study to support the evaluation and prioritization of IT services in an ITO decision

The framework provides promising results for ITO decisions. This study revealed that a lack of strategic and fundamental objectives is a critical issue in making ITO decisions. Although the VFT methodology is subjective in nature, it promotes a better understanding of goals and values, and FITradeoff allows the decision-maker to make comparisons of consequences based on his/her preferences.

The recommendations of the study are restricted to the case study and cannot be generalized. In addition, applying the method requires attention in determining the criteria used for outsourcing IT.

The strategic analysis of ITO provides a holistic view of the current situation since (i) the VFT methodology enables the IT manager to generate new alternatives to assist future decisions and (ii) FITradeoff has been demonstrated as a suitable option to evaluate ITO decisions.

To the best of our knowledge, this is the first paper to utilize a problem structuring method (VFT) to identify criteria and alternatives based on the organizational values and objectives. This is integrated with a multicriteria method that uses partial information and may consequently lead to fewer inconsistencies (FITradeoff) in the context of ITO.

The purpose of this study is to formulate exploratory scenarios of Operations Research through the critical uncertainty approach and Soft Systems Methodology.

In this study, to formulate plausible scenarios, the discipline of operation research internal and external experts’ opinions of this field have been gathered through Delphi approach and uncertainty questionnaires. After use of the most important uncertainties, plausible scenarios of operations research have been mapped with the help of experts through co-thinking workshops.

Four scenarios are presented in this study. These scenarios include Solar System, Esfandiar's Eye, Rival’s Setraps and Legendary Simurgh. Naturally, the imagination of such a unitary future for all academic communities is an expectation far from reality, and given the conditions of each of these futures or any integration of them is imaginable.

Operations Research models have been faced with variously multiple changes since its emergence until now. Investigation into the future of operations research on the necessity for his planning has not received a reasonable notice in the literature. Sporadic activities that have been carried out are also lacking in the necessary methodology. Also, there has been no research about future study using the soft Operation Research tools (Soft Systems Methodology).

The purpose of this paper is to present the adapted model per phases of the creative problem solving (CPS) process, where multi‐criteria decision making (MCDM) methods are used in the decision‐making phase. Also, to adapt and complete the steps of the six‐question technique, in order to establish the criteria's importance.

The framework procedure of MCDM, together with the Dialectical Systems Theory's guidelines when solving complex problems has already been introduced. The procedure was well‐verified in practice, but lacked the support of creative qualitative techniques in defining problems, and in generating and choosing alternatives. To eliminate this deficiency, in terms of prescriptive approach, the authors adapted the phases of the CPS process, where MCDM methods are used when choosing alternatives, and completed the steps of the six‐question technique to establish the criteria weights. The discrete Choquet integral was used to consider interactions among criteria.

The article shows that creative approaches are not limited to merely problem definitions and problem structuring. They can also be used in typically analytical steps in the framework procedure.

The completed and adapted phases of the CPS process can allow the mutual assistance of creative and decision‐making methods when solving problems – a step forward to holism.

This article develops and introduces the use of the six‐question technique, in the establishment of criteria weights.

The innovative aspect of this article is that it adapts and completes the CPS process so that MCDM methods can be used when choosing alternatives. It extends the use of creative approaches to typically analytical steps of MCDM, where synergies and redundancies among criteria are considered.

This paper sets out to describe the development of problem‐structuring methods within operations research (OR) and to suggest that these might define new areas of collaborative activity between library management and OR modellers.

The paper identifies a requirement for the twenty‐first century academic library to be flexible, inclusive and responsive to rapidly changing environments. The use of problem‐structuring methods provides OR modellers with a methodological approach that can assist decision making under just these conditions, and so a management approach that places problem‐structuring methods firmly within library planning processes is suggested.

Since the rapid growth of library OR in the 1960s and 1970s (using primarily statistical and quantitative techniques) there has been a significant downturn in new applications and model developments within the last 20 years. This has coincided with a debate on the future of OR that has moved it away from the application of quantitative techniques, and the new paradigms evolving from that debate could stimulate a regeneration of interest in library OR.

The paper explores a possible future for library OR. The application of OR methods within libraries has undoubtedly had its successes and a wider appreciation of the potential use of problem‐structuring methods within library management could resolve many of the issues associated with planning library operations on the brink of the second decade of the twenty‐first century.

The purpose of this paper is to define a method for sustain lean tools and philosophies on a manufacturing environment.

An in-depth action research (AR) methodology procedures applied in two cycles were conducted in an automobile company located in southeastern Brazil. The objective is to test the applicability of the shop floor management (SFM) implementation model as presented by Hanenkamp (2013).

The SFM model presented by Hanenkamp (2013) has been outlined, detailed and applied in practice. Opportunities for improvement during the application process of this model were verified by changes in its steps. After developing the AR, the authors have shown that the SFM model, as proposed in this paper, can indeed assist managers in applying and maintaining lean manufacturing practices on the shop floor.

This paper contributes by aiding in filling the gap between practical applications and the sustainability of lean manufacturing concepts and solutions. Furthermore, the guidelines introduced serve as a benchmark for other companies interested in the topic.

Problem-solving, systems thinking and design thinking are disciplines practiced by all human beings and is also innate in other living objects with limited use of symbolic structures. They are necessary to achieve the goals and survive. Interpretation of problem-solving as a change in equilibrium makes it applicable throughout the inanimate world. The aim is to describe the proposed empirical systems theory that integrates problem-solving and systems thinking through design thinking.

A brief historical background describes why comprehensive empirical systems theory has not been attempted before except as a restricted version in engineering systems. The methodology of the general theory follows that of conventional science, but with systemic content. Interference by required mental or physical product/systems changes states which is subject to discussion, creativity, innovation and inspiration accomplished by iteration as necessary.

A problem-solving structure has been created, which is implemented in a methodical way to aid the innate ability of individuals and organisations, and is open to modifications and the use of quantitative methods. Processed natural language allows for implementation at the operational level.

The proposed systems theory is an empirical theory that uses the structural properties of parts of the world. The integration makes “systems” the driver of change of state and offers fundamental concepts. The implementation shown in Figure 2 is methodical and can be applied by individuals and organisations subject to peer review and development. The method clarifies the roles of product/artifact and systems designers.

As a problem-solving tool, the kaizen event (KE) is underutilised in practice. Assuming this is due to a lack of group process quality during those events, the authors aimed to grasp what is needed during high-quality KE meetings. Guided by the phased approach for structured problem-solving, the authors built and explored a measure for enriching future KE research.

Six phases were used to code all verbal contributions (N = 5,442) in 21 diverse, videotaped KE meetings. Resembling state space grids, the authors visualised the course of each meeting with line graphs which were shown to ten individual kaizen experts as well as to the filmed kaizen groups.

From their reactions to the graphs the authors extracted high-quality KE process characteristics. At the end of each phase, that should be enacted sequentially, explicit group consensus appeared to be crucial. Some of the groups spent too little time on a group-shared understanding of the problem and its root causes. Surprisingly, the mixed-methods data suggested that small and infrequent deviations (“jumps”) to another phase might be necessary for a high-quality process. According to the newly developed quantitative process measure, when groups often jump from one phase to a distant, previous or next phase, this relates to low KE process quality.

A refined conceptual model and research agenda are offered for generating better solutions during KEs, and the authors urge examinations of the effects of well-crafted KE training.

This purpose of this study is to structure complex problems to be solved with greater efficiency, optimising the relationship between root causes (RC) relevance of the problem and utilisation of human resources to treat them, minimising the use of manpower in problem-solving activity and thus contributing to greater productivity within organisations.

The authors built an approach under the concepts of theory of constraints and multiattribute and multiobjective decision-making methods that were applied in a real complex problem of the low development of Brazilian space industry, by theoretical perspective. Also, the authors submitted it in a simulation environment to assess in which situations it is successful considering number of problem’s RC, system complexity and number of people in the system.

The approach was successful on the real case, finding the optimal relationship between the RC relevance and the number of people involved to treat them. For certain complex problem inputs configurations, simulation results reveal that the approach is reliable obtaining more than 95% chance of success in finding the optimal relationship, when comparing with traditional prioritising methods.

This approach introduces an unprecedented way to locate and evaluate non-physical constraints within a system, which is used to determine RC relevance, as well as an unprecedented way of defining a single optimal solution for structuring a problem, considering the relevance of RC and the use of human resources. The approach is useful for organisations in general which often need managing complex problems with few resources.