Fifty years of systems thinking for management

The point of this paper is to provide an account of the last 50 years of systems thinking applied to management that is insightful and useful to those interested in the theory and practice of operational research (OR). In seeking to fulfil this purpose, it employs Boulding's well-known ‘hierarchy of complexity’ to think through the reasons for the emergence of different strands of applied systems thinking and to detail their strengths. In theoretical terms, operational researchers will find a number of the key issues that have engaged their field (eg, hard versus soft approaches) mirrored in debates that have taken place between systems thinkers. They may discover new theoretical avenues to follow to advance their discipline. OR practitioners may also be surprised by the nature and scope of the systems applications described and conclude that systems approaches should be added to their own intervention strategies. At the least, the paper is designed to reinvigorate discussion around the relationship between OR and systems thinking that has occasionally surfaced over the last half century but has never been satisfactorily concluded.     

中国运筹学发展研究报告

运筹学是自20世纪三四十年代发展起来的一门新兴交叉学科,主要研究如何应用数学和计算的理论与方法对社会系统和工程系统做出最优或满意的决策。为了更好地推动中国运筹学及相关领域的研究和应用,学会组织国内运筹学领域的部分专家,并参考了国内外运筹学多个分支代表性人物对运筹学的起源和发展的回忆与评述,共同完成了此报告。报告概述了运筹学的主要特征和方法,简述了运筹学的发展历程,剖析了运筹学研究中的成功经验,综述了运筹学几个主要分支的发展状况,介绍了运筹学中十几个有代表性的难题,展望了运筹学未来发展的方向。希望此报告能引起读者进一步思考运筹学的本质,运筹学是如何成长和将如何发展,并在一定程度上推动中国运筹学更好地发展。     

Autonomous control of complex systems: robotic applications

One of the biggest challenges of any control paradigm is being able to handle large complex systems under unforeseen uncertainties. A system may be called complex here if its dimension (order) is too high and its model (if available) is nonlinear, interconnected, and information on the system is uncertain such that classical techniques cannot easily handle the problem. Soft computing, a collection of fuzzy logic, neuro-computing, genetic algorithms and genetic programming, has proven to be a powerful tool for adding autonomy to many complex systems. For such systems the size soft computing control architecture will be nearly infinite. Examples of complex systems are power networks, national air traffic control system, an integrated manufacturing plant, etc. In this paper a new rule base reduction approach is suggested to manage large inference engines. Notions of rule hierarchy and sensor data fusion are introduced and combined to achieve desirable goals. New paradigms using soft computing approaches are utilized to design autonomous controllers for a number of robotic applications at the ACE Center are also presented briefly.     

The importance of systems thinking in ethical and sustainable decision-making

Ethical values beyond the satisfaction of basic human needs are specific to each society at a given time. Modern societies are confronted to the challenges of disappearing natural resources, fierce competition on global markets, and climate change. In this paper we define ‘good’, and at the same time ‘ethical‘ decisions in the 21st century as being in accordance with the principles of Sustainable Development. Operations Research can assist sustainable decision-making in two ways: (1) through the tools of systems thinking, in particular system dynamics and soft system modelling, to provide insight into the way complex non-linear living systems and human societies function, and help making sustainable decisions, and (2) through educating and training young people in systems thinking. The paper presents examples of simple models that could serve in classrooms.     

The development of management sciences/operational research discourses: surveying the trends in the US and the UK

This paper explores the trends in American and British management science/operational research (MS/OR) during the last 25 years. We argue that British MS/OR has developed a soft and systemic approach to MS/OR practice, which has resulted in the emergence of a number of interpretive and critical-oriented methodologies. American MS/OR practice has remained closed to the positivistic discourse. Using a set of keywords and authors’ names associated with the main features of the interpretive and critical MS discourses, we surveyed articles published in three major US MS/OR journals. We compare these results with trends in the UK MS/OR scene. Findings appear to confirm the different directions taken by the MS/OR practice across the Atlantic. The paper posits possible reasons underpinning these differences: firstly, the particular methodological path followed by the British MS/OR, from early ‘soft systems’ applications in the early 1970s to the now well-established ‘Problem Structuring Methods’; and secondly, continuous engagement between the systems and MS/OR British communities (a dialogue that seems not to have occurred in the US). The paper contributes to a reflection on the MS/OR historical developments and contrasts these developments in both countries, two areas of OR significantly under-researched.     

Regularity modulus of arbitrarily perturbed linear inequality systems

We aim to quantify the stability of systems of (possibly infinitely many) linear inequalities under arbitrary perturbations of the data. Our focus is on the Aubin property (also called pseudo-Lipschitz) of the solution set mapping, or, equivalently, on the metric regularity of its inverse mapping. The main goal is to determine the regularity modulus of the latter mapping exclusively in terms of the system's data. In our context, both, the right- and the left-hand side of the system are subject to possible perturbations. This fact entails notable differences with respect to previous developments in the framework of linear systems with perturbations of the right-hand side. In these previous studies, the feasible set mapping is sublinear (which is not our current case) and the well-known Radius Theorem constitutes a useful tool for determining the modulus. In our current setting we do not have an explicit expression for the radius of metric regularity, and we have to tackle the modulus directly. As an application we approach, under appropriate assumptions, the regularity modulus for a semi-infinite system associated with the Lagrangian dual of an ordinary nonlinear programming problem.     

Recent Developments in Critical Management Science

For much of its history management science had a quantitative and technical emphasis. More recently, there has been a move towards more subjective approaches such as ‘soft OR’ and ‘soft systems’. Currently, there is interest in ‘critical management science’ drawing on critical theory, particularly the work of Habermas. This paper reviews developments in critical management science, in particular critiques of traditional and ‘soft’ management science; Jackson and Keys' system of systems methodology; critical management science methodologies and the problem of power in bringing about change; and the postmodernist critique.     

A taxing problem: The complementary use of hard and soft OR in the public sector

A review of the UK personal taxation system used a combination of hard and soft OR approaches in a complementary way. The hard OR was based on data mining to increase understanding of individual taxpayers and their changing needs within the personal tax system. The soft OR was based on soft systems methodology with two aims in mind. First, to guide the review and, secondly, as an auditable approach for collecting the views of key internal and external stakeholders. The soft and hard OR were used alongside one another, rather than one providing a contextual scheme for the other. The experience reveals that soft OR is much more than common sense and, that, used in parallel, soft and hard approaches have a powerful synergy.     

Operational research and critical systems thinking—an integrated perspective

On the basis of a review of the role of systems thinking in the history of OR, Part 1 of this essay proposed a systematic understanding of OR as applied systems thinking. Further, it identified the contribution of ‘critical’ systems thinking (CST) in a combined ability of its two strands, critical systems heuristics (CSH) and total systems intervention (TSI), to enhance the conceptual sophistication of OR. Part 2 aims to translate this understanding into a framework for good professional practice. How exactly can CST strengthen the competence profile of OR professionals? Drawing on three experience-based archetypes of professional service and some basic argumentation-theoretical considerations, a new understanding of OR and applied systems thinking as argumentative practice emerges. In this new understanding CST finds a systematic place and some exemplary uses of CSH and TSI can be located—an integrated perspective.     

Ethics and OR: Operationalising discourse ethics

Operational researchers help managers decide what they ought to do and yet this is generally evaluated in terms of efficiency or effectiveness, not ethicality. However, the combination of the tremendous power of global corporations and the financial markets, and the problems the world faces in terms of economic and environmental sustainability, has led to a revival of interest in ethical approaches. This paper explores a relatively recent and innovative process called discourse ethics. This is very different from traditional ethical systems in taking ethical decisions away from individuals or committees and putting them in the hands of the actual people who are involved and affected through processes of debate and deliberation. The paper demonstrates that discourse ethics has strong connections to OR, especially in the areas of soft and critical systems, and that OR can actually contribute to the practical operationalisation of discourse ethics. At the same time, discourse ethics can provide a rigorous discursive framework for “ethics beyond the model”.     

A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems. The obtaining of accurate but also human-comprehensible fuzzy systems played a key role in Zadeh and Mamdani’s seminal ideas and system identification methodologies. Nevertheless, before the advent of soft computing, accuracy progressively became the main concern of fuzzy model builders, making the resulting fuzzy systems get closer to black-box models such as neural networks. Fortunately, the fuzzy modeling scientific community has come back to its origins by considering design techniques dealing with the interpretability-accuracy tradeoff. In particular, the use of genetic fuzzy systems has been widely extended thanks to their inherent flexibility and their capability to jointly consider different optimization criteria. The current contribution constitutes a review on the most representative genetic fuzzy systems relying on Mamdani-type fuzzy rule-based systems to obtain interpretable linguistic fuzzy models with a good accuracy.     

Putting Soft OR Methods to Work: Information Systems Strategy Development at Sainsbury's

The development of a new information systems (IS) strategy for a major UK food and grocery retailer is described. The approach taken was highly participative and made use of a number of models and methods developed by the advocates of soft OR and systems thinking. The resulting process was successful in delivering a strategy developed by management, with commitment to implement it. In addition, the teamwork across functional boundaries was recognized as valuable management development.     

Putting Soft OR Methods to Work: Information Systems Strategy Development at Richards Bay

The development of an information systems (IS) strategy for a mineral extraction and processing plant operated by Rio Tinto Zinc (RTZ) in South Africa is described. The participative approach used was developed from soft OR and systems thinking. The aim of the Richards Bay project was to test commercially whether the Participative Information Management Strategy (PIMS) methodology could be used as a standard method to be applied to the development of an information systems strategy at any mine site. The paper describes the implementation of the process and the problems encountered. More generally it discusses the diffusion of new ideas in an international company, illustrated by the use of the participative approach for other activities including systems development. Conclusions are drawn about the value of participative approaches based on soft OR in this context.     

MPSB Research Explained

Within the systems movement, there are multiple paths to develop systems methodologies and systems thinking. One way is to review various management technologies (e.g., Operational Research (OR), Information Systems Design, Accounting and Logistics Management) from a systems perspective. Multiperspective, Systems-based (MPSB) Research is a research programme, based on Critical Systems Thinking, that works along this path. A brief review of OR and Business Processing Re-engineering (BPR) is provided to facilitate an introduction to the MPSB research. This paper also defines the MPSB research and the terms used in it.     

Using MENTOR to teach systems thinking and OR methodology to first-year students in New Zealand

MENTOR is a multi-media, interactive, educational package, developed as separate modules by OR teachers in the United Kingdom. In 1995, we contributed a module for teaching students how to approach MS/OR projects within a framework of systems thinking. We outline the philosophy underlying the module, highlight and demonstrate some of its distinct features, and report on our experience using it in a large first-year university course (600+ students each year).     

A review of open queueing network models of manufacturing systems

In this paper we review open queueing network models of manufacturing systems. The paper consists of two parts. In the first part we discuss design and planning problems arising in manufacturing. In doing so we focus on those problems that are best addressed by queueing network models. In the second part of the paper we describe developments in queueing network methodology. We are primarily concerned with features such as general service times, deterministic product routings, and machine failures — features that are prevalent in manufacturing settings. Since these features have eluded exact analysis, approximation procedures have been proposed. In the second part of this paper we review the developments in approximation procedures and highlight the assumptions that underlie these approaches.     

ISSUE INFORMATION

Modeling social‐ecological systems is difficult due to the complexity of ecosystems and of individual and collective human behavior. Key components of the social‐ecological system are often over‐simplified or omitted. Generalized modeling is a dynamical systems approach that can overcome some of these challenges. It can rigorously analyze qualitative system dynamics such as regime shifts despite incomplete knowledge of the model's constituent processes. Here, we review generalized modeling and use a recent study on the Baltic Sea cod fishery's boom and collapse to demonstrate its application to modeling the dynamics of empirical social‐ecological systems. These empirical applications demand new methods of analysis suited to larger, more complicated generalized models. Generalized modeling is a promising tool for rapidly developing mathematically rigorous, process‐based understanding of a social‐ecological system's dynamics despite limited knowledge of the system.     

Nonexistence of positive solutions to nonlinear nonlocal elliptic systems

In this paper we consider the question of nonexistence of nontrivial solutions for nonlinear elliptic systems involving fractional diffusion operators. Using a weak formulation approach and relying on a suitable choice of test functions, we derive sufficient conditions in terms of space dimension and systems parameters. Also, we present three main results associated to three different classes of systems.     

New approach to control and filtering of mechanical systems by using the estimates of their Lagrangians

When a mechanical system is defined by its Lagrangian, some control problems can be solved by using directly the latter, instead of the dynamical equations themselves; this is based upon the property that the dynamics is continuous with respect to the Lagrangian. After stating the main lemma which supports the approach, we consider applications to active mechanical systems, that is to say, with time-varying structural parameters, to tracking control via external applied forces, and to state estimation problems for which we propose a new variational principle.This research was supported by the National Research Council of Canada.     

Putting soft OR methods to work: The case of the business improvement project at PowerGen

In 1994 PowerGen, a UK electricity generating company, conducted a business improvement project. The project used a participative approach involving soft OR and systems thinking, an approach that was developed in earlier projects in food retailing and mining. The aim of the project was initially to conduct a benchmarking exercise and develop an information systems (IS) strategy. As the project progressed the emphasis moved to business process redesign and downsizing in the light of new perceptions of business prospects. The paper describes the design and implementation of the intervention, the evolution of the project, the problems encountered, and the outcome. Throughout it describes in some detail the interaction that took place. Although many improvements to current operations were identified for implementation, it proved difficult to obtain agreement to a fundamental change in the organisational structure. Two years after the project finished a new organisation based on the project's analysis has been adopted. The case is discussed drawing on a number of recent theoretical themes that have emerged from the debate about the process of OR. Conclusions are drawn about the value of the methods used in the intervention, the practicalities of mixing several methods, and the future direction the research programme should take.