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In software development (SD), practitioners have realized the importance of lean thinking. A new term “Leagile” is coined, which is an integrated approach of traditional lean and agile thinking to managing the operations. The study aims to investigate the application of the Leagile principles in a new sector and establish a relationship between the adoption of Leagile approach and operational performance (OP) in SD organizations.

Empirical research is conducted to investigate the linkage between the Leagile principles and operational measures. Data is collected through surveys from 256 SD industries located in 11 states of India and analysed using the structural equation modelling approach.

The practitioners envisage a positive impact of adoption of Leagile principles on OP of SD organizations, but one of the principles, i.e. perfection, is unable to influence the performance.

The study contributes by authorizing the contribution of Leagile principles towards OP of SD organizations. The outcomes will motivate the practitioners to enhance the adoption of Leagile principles in SD organizations.

Rapid changes in the global environment and the effects of existing economic issues triggered by COVID-19 and the war in Ukraine have posed several challenges for manufacturing firms. A hybrid strategy integrating lean and agile (leagile) systems is viable for firms to enhance their capabilities in such dynamic contexts. This paper examines the critical drivers of leagile manufacturing system adoption in an emerging economy from the technological, organizational and environmental (TOE) perspective.

A cross-sectional survey is carried out to obtain data from 438 managers working in 219 manufacturing firms. Multiple regression analysis is applied to test the effect of technological, organizational and environmental drivers on the adoption of leagile systems.

The results show that organization capacity, environmental uncertainty and relative advantage demonstrate the most significant positive relationships with the leagile systems adoption wherein complexity and resistance to change appear to exhibit significant negative associations. Unexpectedly, firm size unveils no significant effect on the adoption of leagile systems.

To deal effectively with critical challenges triggered by ever-changing environment, firms have sought to adopt innovative systems for achieving products' availability in the markets at the right quality and price. A hybrid strategy integrating lean and agile (leagile) systems is viable to enhance a firm's capabilities in such dynamic contexts. The findings of our study help top management and policymakers identify and assess the critical drivers that may facilitate or hinder the successful adoption of leagile systems.

A major trend of studies in the field of manufacturing systems has focused on the critical success factors of adopting either lean or agile systems. Furthermore, research work concerning leagile as a hybrid system focuses primarily on the conceptual development rather than empirical grounds of leagile systems. Given the lack of empirical research in this field, this study offers an early attempt to predict leagile system adoption in an emerging economy. It also contributes to the manufacturing systems research by extending the extant knowledge about the role of firm-level drivers in leagile system adoption from the TOE perspective.

Given the need to simultaneously implement lean and agile (LeAgile) paradigms in supply chain, managers do not know which of these paradigms practices should be given priority. Not knowing this, not only will they fail to apply these paradigms properly, but they will also waste significant financial resources. The purpose of this paper is to investigate the relationship between the practices of LeAgile paradigms and their effects on the supply chain performance.

Because the military products play a key role in national security enhancement, this research is done in the military product supply chain. Research methodology is an exploratory, mixed and descriptive one. In terms of its purpose, it is an applied research based on identifying and searching for practices and the use of interpretive equations. First, the authors identify the most important and implementable LeAgile practices in the form of importance feasibility analysis matrices. Then, using fuzzy interpretative structural modeling, a model is presented to show the logical relationships and hierarchy between paradigms, practices and their impact on supply chain performance. The research tool in both main stages of the research was the questionnaire completed by industrial and academic experts. The selection of experts was done purposefully.

The results show that of total 100 practices introduced in the previous research for LeAgile supply chain, 21 practices in the lean and agility of the supply chain of military industries are important and implementable. The final model of this study illustrates the hierarchical relationships between 21 practices and its effect on supply chain performance key measures. This model shows that LeAgile paradigms are intertwined and their simultaneous implementation leads to improved supply chain performance. In this model, supplier-related practices play a driving and fundamental role and become a top priority for implementation.

Military products variation in land, air and sea areas and the large number of industries in each sectors, forced us to select the only land area. Although the results of this research can be used in the air and sea areas, one cannot say that Implementation of this study by its presented model will fully lead to the military industries supply chain (SC) lean and agility in air and sea sectors.

To the best of the authors’ knowledge, this is the first research on the SC legality in Iran’s military industry which tries to apply these two paradigms simultaneously in the SC and bridge the gap between theory and practice. Clustering LeAgile practices, based on two measures of importance and feasibility, and defining four strategies for implementing these measures, is a new approach to focus on deploying practices that are currently more feasible. Identifying a significant number of SC LeAgile practices (100 practices) and demonstrating the interactions between important and feasible practices in the military products SC are another innovation in this research.

The purpose of this paper is to propose a new assessment tool for Leagility.

This research was carried out to systematically propose the operational activities of Leagile supply chains (SCs) with regard to SC drivers. Particularly, SC logistic (facility, transportation and inventory) and cross-functional drivers (information, sourcing and pricing) were selected to classify all operational activities of Leagile SCs.

This study proposed a new framework to evaluate the operational activities of Leagile SCs. Operational activities of Leagile supply chain strategy were determined and categorized with regard to SC drivers. These activities were ranked using an analytic hierarchy process and were then categorized using a cycle view of SC.

This study contributed in proposing operational activities of Leagile SC based on its major drivers. The result of this study assist managers, scholars and practitioners to construct new Leagile SCs or assess their Leagility level.

To propose a theoretical model of leagile manufacturing as it applies to a single corporate enterprise with multiple business units and to generate research questions stemming from the model that should be addressed in the future.

A case study company was analyzed to determine whether the concept of leagility could be applied to a single corporation with multiple business units and whether a decoupling point would be necessary to distinguish the lean and agile portions of the enterprise. The case study findings are used as the basis for describing a theoretical corporate leagile infrastructure and for stimulating new research questions.

It is possible for a corporation to simultaneously pursue both lean and agile manufacturing strategies by adopting a leagile infrastructure. The organizational structure consists of three main levels: a corporate headquarters, a sales and service group, and multiple lean production units. There is a decoupling point that separates the lean and agile portions of the enterprise. This organizational structure matches the front‐back approach, one of the large/small strategies defined by Lawler in 1997.

A single company was examined. Studying a broader range of companies would make the described theoretical leagile corporate infrastructure more robust.

Manufacturing corporations might find the infrastructure described to be a beneficial way to structure their own organizations in order to capitalize on the benefits of both the lean and agile manufacturing strategies.

This paper expands on the concept of leagility, previously discussed in the literature with respect to supply chains and individual manufacturing plants, by applying it to a single corporation with multiple business units. Similar to other characterizations of leagile manufacturing, it was found that the corporation operates with a decoupling point between the agile and lean portions of the business. Several new avenues for further research are outlined.

The purpose of this paper is to propose an integrative model of leagile production and to examine its influence on the quality of products based on Six Sigma approach.

A new model has been proposed in which the three strategies of postponement, mass customization, and modularization are included together with an executive algorithm. The proposed model has been examined using three main products of the Ghods Manufacturing Group, which is a manufacturer of truck body parts, from March to July 2008. In the case study, upstream and downstream processes (after processes warehousing of the semi‐manufactured parts) have been considered for the implementation of lean and agile production strategies, respectively. The product waiting time in the production section has been considered as the lean production indicator, and the warehousing time in the final warehouse has been considered as the indicator of agile manufacturing. These indicators have been evaluated before and after implementation of the proposed model and the sigma level of the studied processes has been evaluated.

The results imply that the sigma level the product A has been improved by 147 percent considering the first indicator and by 8 percent considering the second indicator. Also, product B has 65 and 47 percent and product C has 65 and 150 percent of improvement considering the two indicators, respectively.

The proposed model has not been implemented in a wide range of operations and has not covered all of the products of the case study. Also, due to the lack of literature on standard criteria for evaluating leagile production, the criterion of the duration of waste has been defined and used for leanness and the duration of final storage has been defined and applied to assembly line based on specific orders from customers, which in turn might be realized as a limitation. In comparing the process before and after improvement, there might exist other unknown factors by which, results would be affected.

While the literature includes researches on leagile production and its advantages, this investigation further proposes a leagile production model which includes three strategies of postponement, mass customization, and modularization and is employed based on Six Sigma approach.

In today’s ever-changing global business environment, successful survival of manufacturing firms/production units depends on the extent of fulfillment of dynamic customers’ demands. Appropriate supply chain strategy is of vital concern in this context. Lean principles correspond to zero inventory level; whereas, agile concepts motivate safety inventory to face and withstand in turbulent market conditions. The leagile paradigm is gaining prime importance in the contemporary scenario which includes salient features of both leanness and agility. While lean strategy affords markets with predictable demand, low variety and long product life cycle; agility performs best in a volatile environment with high variety, mass-customization and short product life cycle. Successful implementation of leagile concept requires evaluation of the total performance metric and development of a route map for integrating lean production and agile supply in the total supply chain. To this end, the purpose of this paper is to propose a leagility evaluation framework using fuzzy logic.

A structured framework consisting of leagile capabilities/attributes as well as criterions has been explored to assess an overall leagility index, for a case enterprise and the data, obtained thereof, has been analyzed. Future opportunities toward improving leagility degree have been identified as well. This paper proposes a Fuzzy Overall Performance Index to assess the combined agility and leanness measure (leagility) of the organizational supply chain.

The proposed method has been found fruitful from managerial implication viewpoint.

This paper aimed to present an integrated fuzzy-based performance appraisement module in an organizational leagile supply chain. This evaluation module helps to assess existing organizational leagility degree; it can be considered as a ready reference to compare performance of different leagile organization (running under similar supply chain architecture) and to benchmark candidate leagile enterprises; so that best practices can be transmitted to the less-performing organizations. Moreover, there is scope to identify ill-performing areas (barriers of leagility) which require special managerial attention for future improvement.

The aim of this paper is to review metrics and develop a framework for measuring leagile supply chain. Metrics that are applicable in the lean, agile and leagile strategies are identified in the literature and are then combined into a framework that can reflect both agile and lean strategies – the leagile supply strategy.

This work is based on the systematic literature review. Literature was collected, then lean and agile metrics were extracted, analysed, counted and grouped into the framework. Findings are compared against literature on leagile supply chain.

Findings indicate that there are sets of metrics specific to lean strategy, such as are process-focused, cost, productivity, inventory and delivery-based metrics, and specific to agile such as flexibility, responsiveness, information sharing and cooperation. There are also metrics common for both strategies; they are related to time, quality and customer satisfaction. Lean measures are tangible and focused on internal processes and products, while agile measures are targeted at external environment.

The framework could be used by practitioners as a starting point for performance system design.

There is a need to stop looking at lean and agile as separate and distinct supply strategies. Results of this research indicate that lean and agile are interlinked, both are focusing on customer satisfaction and quality. Applying a proposed set of metrics enables to design supply chain measurement system that reflects both strategies to measure leagile supply chain. The framework could be used by practitioners as a starting point for performance system design.

The purpose of this paper is to investigate the supply chain leagility proposing all supply chains are leagile with different magnitudes of leanness and agility. A new index, “Deviation from Leagility” (DFL), is introduced, aiming to optimise supply chain design and investigate the relationship between supply chain leagility and firm performance.

The partial least squares (PLS) method was employed to analyse data collected from 299 Australian firms by administering a structured questionnaire.

The results indicate that most companies adopt the leagile supply chain rather than the lean or pure agile design. Furthermore, better business performance is achievable when deviation from a balanced supply chain in which both aspects of leanness and agility are equally embedded is minimised.

The study is limited to a number of constraints that measure leagility; further research is needed to incorporate different aspects of agility.

The findings of this study could provide a guideline for supply chain executives to improve their company’s performance by designing a more balanced leagile supply chain.

This study is unique in its in-depth empirical investigation of modelling of leagile supply chain using a new index, and also addressing: first, the current mismatch between the well-known mutually exclusive strategies (lean/agile); and second, what has later been found when the proposed models were quantitatively tested.

This paper aims to propose a new approach for determining a decoupling point in leagile chain, based on Lean and agile criteria regarding market and customer demands and internal capabilities of the chain with the ultimate goal of fulfilling customer needs and increasing chain profit.

In the new approach, Lean and agile criteria have been defined for assessing the effectiveness and efficiency of supply chain. The efficiency and effectiveness ratios have been calculated for Lean and agile processes using input- and output-oriented Banker, Charnes and Cooper (BCC) methods, respectively. Based on the results, inefficient and ineffective units have been addressed and the decoupling point has been determined.

Findings indicate that the decoupling point can be regarded as a borderline between two strategies of Lean and agile production, and fuzzy decoupling point and lean–agile distance can provide the basis for distinguishing the two strategies.

Determining the decoupling point has an important role in dynamic performance of a supply chain. By the proposed approach, managers can estimate the most probable area for the decoupling point. Moreover, by appropriate determination of decoupling point, an organization can increase its public responsibility by appropriate usage of its resources and responding faster to customers’ requirements.

In this study, in addition to determining a decoupling point in a supply chain with the aim of increasing productivity, the subject of leagile strategy of supply chains has been developed.