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The purpose of this study is to propose a framework depicting the dynamic links between a firm’s external environment, competitive strategy, manufacturing strategy, competitive advantage and firm performance. This is followed by articulating expected differences among the the content and process dimensions dimensions of a manufacturing strategy for different competitive strategies.

Today, manufacturing is widely recognized as one of the most important means of creating and sustaining a competitive advantage. This paper studies the emerging broader view of the strategic role of manufacturing by offering a manufacturing strategy model, showing its impact on competitive advantage and, ultimately, firm performance. This is accomplished by identifying and defining major content and process dimensions of manufacturing strategy and relating them to a firm’s strategic type. The paper uses an integrative competitive strategy typology (Segev, 1989) to clarify differences in manufacturing strategy dimensions and different competitive strategies. The concept of “fit as gestalt” among the dimensions of manufacturing strategy is also introduced. This study presents the implications of fit between manufacturing and competitive strategy and the contribution of content and process dimensions of manufacturing strategy to firm performance and concludes by providing implications for executives and future research issues.

Differences in content and process dimensions of manufacturing strategy for different competitive strategies are clarified.

Other researchers may propose different frameworks for linking manufacturing and competitive strategies.

This paper presents an integrative view of competitive and manufacturing strategies. It highlights the numerous choices companies must make to ensure fit among the competitive strategic types and their corresponding manufacturing strategies. This integration adds coherence and parsimony to the literature. It provides a basis for conceptualizing manufacturing strategy, thus reconciling different strategic perspectives and reducing a potential source of conflicting research results.

ISO 90003 provides guidelines for applying ISO 9001 to software development processes. The purpose of this paper is to present how the software development process in large, virtual teams (LVTs) can be managed, so that they are in compliance with ISO 9001.

The firm's actions are described in a case example format that illustrates how fit between theory and practice is achieved; and forms a precursor to the derivation of appropriate research arguments.

The steps presented show the application of ISO 90003 guidelines to software development planning activities in LVTs, to meet the requirements of ISO 9000 certification.

The scope of this paper is limited to the application of Section 7.3 (Design and development) of ISO 90003:2004 to the software development process. The paper presents the discussion in a “generalized” fashion so that the steps described can be implemented by any software development company.

The implications for managers in this study lie in the presentation of a set of steps to manage software development processes in LVTs, so that they are in compliance with ISO 9001.

There is a dearth of studies on the application of process‐based approaches in virtual organizations. This paper addresses this gap in the literature by examining how software development processes in virtual organizations (specifically, LVTs) may be formally managed, so that they are in compliance with ISO 9001.

The successful development of information systems for flexible manufacturing systems depends on several factors. Many studies have been investigating these factors during the development of information systems for various applications. Examines findings from the MIS literature and derives some lessons on how they can be used in the development of an information system for FMS.

The literature on the facilities location problem is quite extensive with a wide variety of solution methods for addressing these problems where the objective is cost minimization. Develops a branch and bound algorithm for solving the uncapacitated, multi‐period facility location problem where the objective is to maximize profits. The solution method uses a number of simplification and branching decision rules to solve the problem efficiently. Extensive computational results on the algorithm’s performance are provided. The results indicate that the algorithm provides optimal solutions in substantially less time than LINDO.

To examine and analyze the decision process that a firm undergoes for acquiring an advanced manufacturing system to obtain manufacturing flexibility for its operations.

A case study approach is used to examine these decision processes. A conceptual contingency‐based framework from the literature is used to guide the analysis. The framework proposes that four exogenous variables – strategy, environmental factors, organizational attributes, and technology – guide a firm's decisions on choice and adoption of manufacturing flexibility, which has an effect on the firm's performance.

The analysis shows that these decisions are aligned with the various relationships in the framework. The framework therefore helps understand and explain the above decision processes. Further, the paper expands the concept of “fit” between the variables in the framework.

Several research propositions are developed based on the findings of this study. The findings in this paper are limited to this case study only. The paper does not attempt to validate theory but applies it in the context of examining and analyzing a company's decisions.

The suggested relationships in the conceptual framework are found to be applicable in a business setting. Practitioners can use the conceptual framework to guide them in making decisions when acquiring advanced manufacturing systems to obtain manufacturing flexibility.

This case study captures richness and detail in the decision‐making processes of an individual firm that are missed by other types of research studies. It helps both academics and practitioners to gain a better understanding of these processes.

Rapid changes in today’s global markets are forcing businesses to re‐examine and improve the ways they compete. Integration of facility location decisions in global marketing and manufacturing strategies provides an important means for firms to compete in global markets. This paper proposes that manufacturing utility can be related to marketing utility through facility location decisions. Consequently, it presents a mathematical model for global facility location that integrates marketing and manufacturing decisions in a global context. It also presents a four‐stage evolutionary model that can guide managers in making global facility location decisions.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This paper identified the different dimensions and ways that manufacturing strategy can be integrated into the business strategy to produce a competitive advantage for the organization.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This paper aims to implement a maiden methodology for load frequency control of an AC multi micro-grid (MG) by using hybrid fractional order fuzzy PID (FOFPID) controller and linear quadratic Gaussian (LQG).

The multi MG system considered is consisting of photovoltaic, wind turbine and a synchronous generator. Different energy storage devices i.e. battery energy storage system and flywheel energy storage system are also integrated to the system. The renewable energy sources suffer from uncertainty and fluctuation from their nominal values, which results in fluctuation of system frequency. Inspired by this difficulty in MG control, this research paper proposes a hybridized FOFPID and LQG controller under random and stochastic environments. Again to confer viability of proposed controller its performances are compared with PID, fuzzy PID and fuzzy PID-LQG controllers. A comparative study among all implemented techniques i.e. proposed multi-verse optimization (MVO) algorithm, particle swarm optimization and genetic algorithm has been done to justify the supremacy of MVO algorithm. To check the robustness of the controller sensitivity analysis is done.

The merged concept of fractional calculus and state feedback theory is found to be efficient. The designed controller is found to be capable of rejecting the effect of disturbances present in the system.

From the study, the authors observed that the proposed hybrid FOPID and LQG controller is robust hence, there is no need to reset the controller parameters with a large change in network parameters.

The purpose of this paper is to provide an organizing lens for viewing the distinct contributions to knowledge production from those research communities addressing the impact of competitive strategy on company performance in general, and the influence of cost leadership and differentiation strategy on organizational performance in detail.

The research methodology was based on the PRISMA review, and thematic analysis based on an iterative process of open coding was analyzed and then the sample was analyzed by illustrating the research title, objectives, method, data analysis, sample size, variables and country.

The main factor that influenced the competitive strategy is strategic growth; strategic growth has a significant influence on competitive strategy. Furthermore, competitive strategy will boost firm network, performance measurement and organization behavior. In the same way, the internal goal factor will enhance organizational effectiveness. Also, a differentiation strategy will support management practice factors, strategic positions, product price, product characteristics and company performance.

This study contributes to the literature by identifying a framework of competitive strategy factors, company performance factors, cost leadership strategy factors, differentiation strategy factors and competitive strategy with global market factors. This study provides a complete picture and description of the resulting body knowledge in competitive strategy and organizational performance.

The paper has proposed to implement gray wolf optimization (GWO)-based filter-type proportional derivative with (FPD) plus (1+ proportional integral) multistage controller in a three-area integrated source-type interlinked power network for achieving automatic generation control.

For analysis, a three area interconnected power system of which each area comprises three different generating units where thermal and hydro system as common. Micro sources like wind generator, diesel generator and gas unit are integrated with area1, area2 and area3 respectively. For realization of system nonlinearity some physical constraints like generation rate constraint, governor dead band and boiler dynamics are effected in the system.

The supremacy of multistage controller structure over simple proportional integral (PI), proportional integral, derivative (PID) and GWO technique over genetic algorithm, differential evolution techniques has been demonstrated. A comparison is made on performances of different controllers and sensitivity analysis on settling times, overshoots and undershoots of different dynamic responses of system as well as integral based error criteria subsequent a step load perturbation (SLP). Finally, sensitive analysis has been analyzed by varying size of SLP and network parameters in range ±50 per cent from its nominal value.

Design and implementation of a robust FPD plus (1 + PI) controller for AGC of nonlinear power system. The gains of the proposed controller are optimized by the application of GWO algorithm. An investigation has been done on the dynamic performances of the suggested system by conducting a comparative analysis with conventional PID controller tuned by various optimization techniques to verify its supremacy. Establishment of the robustness and sensitiveness of the controller by varying the size and position of the SLP, varying the loading of the system randomly and varying the time constants of the system.