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This chapter of the book aims to achieve sustainability and productivity in light of the interaction between managers and engineers in a lean and agile supply chain management system in today’s organizations. The main innovation of this chapter is the use of the balanced scorecard (BSC) model and fuzzy analysis network process (FANP) to create a suitable platform for the realization of this interaction between managers and engineers and to identify exactly which expert system is ideal for the main purpose. Indeed, this chapter introduces its readers to the application of strategic management tools such as the BSC accompanied by FANP in the elements of supply chain management where data analysis of lean and agile networks in supply chain management can create a competitive advantage in the organization.

This editorial aims to introduce the theme of the special issue: “Lean vs agile from an organizational sustainability, complexity and learning perspective”.

The methodology of the editorial is that of a survey. In the first part it presents the relevance of the theme and in the second part it presents the papers included in the special issue, including their themes, findings and novel contributions.

The individual findings by the papers present significant new contributions in a deeper insight of the “lean” and “agile” philosophies, or approaches in, and to, organizations. It could be noticed that the controversies of the issue “lean vs. agile” still remain. However, it could be said that an eventual further investigation in the phenomenology of “lean” and “agile” will be more informed after consideration of the results presented in this special issue.

Further investigation should be undertaken on a more abstract “level” of the theories of “lean” and “agile” and their mutual relationship, such as theories about the internal processes of “lean”/“agile” users, general “lean”/“agile” theories, epistemology of “lean”/“agile”, and ontology of “lean”/“agile”, and relationship with learning organization and chaordic organization.

Readers, both theoreticians and practitioners, will find in this editorial a “guide” to the issues of their interest concerning the valuable explanations, ideas and tools, presented in the special issue, for both concrete applications in enterprises and organizations, and for further research and development of learning, complex and sustainable organizations, and towards new ideas and insights generation.

This editorial presents an analysis of the special issue on “lean vs agile”, contributing to the higher levels of the theories of “lean” and “agile” and their mutual relationship, namely to the theories about the internal processes of “lean”/“agile” users, general “lean”/“agile” theories, and epistemology of “lean”/“agile”.

The present study attempted to identify, measure and prioritize key green human resource management (GHRM) practices to achieve the lean-agile mindset in the steel industry.

Following an in-depth review of the literature, this study identifies GHRM practices. Then, the effect of green HRM practices on the lean-agile mindset was evaluated using structural equation modeling (SEM). In the next step, using the fuzzy analytic hierarchy process (FAHP), prioritization of practices that have significant effects on lean-agile mindset were discussed.

The present study introduced eight GHRM practices. The results of SEM showed a significant and positive effect of all GHRM practices on lean-agile mindset. Prioritization of GHRM practices by the FAHP was defined as green reward management, green education and development, green performance evaluation, green discipline management, green employment, green safety and health management, green selection and green career design.

The present study suffers from some limitations. First, the research was conducted at a temporal section. Second, this research has been conducted in a particular industry.

The present study encourages human resource managers to increase their efforts to achieve green employees and put employee greenery in their strategic goals.

Successful implementation of GHRM programs has positive consequences at the individual, organizational and community levels. Implementation of the identified actions increases employee vitality at the individual level. At the organizational level, the work environment of environmentally friendly organizations is also more attractive to job seekers. Finally, at the social and extra-organizational level, a green lifestyle is spread in the community, which will lead to a healthy and green environment.

Emphasizing environmental principles on the one hand and creating the lean-agile mindset on the other are effective factors on maintaining the competitive advantage of industries. In this regard, the present study presented two innovations in HRM literature: (1) assessing the effect of GHRM practices on lean-agile mindset and (2) prioritizing GHRM practices based on the lean-agile mindset.

This paper aims to explore the divergences and commitments between the lean, agile, resilient and green paradigms while investigating the effect of paradigms' practices within supply chain attributes.

A conceptual model with lean, agile, resilient and green practices and supply chain management attributes is proposed. Causal diagrams were used to represent the relationships between paradigm practices and supply chain attributes. The four diagrams were aggregated to build the conceptual model.

The conceptual model allows for the identification of synergies and divergences resulting from the paradigms practices implementation. The synergies between paradigms are related to “information frequency” and “integration level” increasing as well as reduction of “production lead time” and “transportation lead time”. However, other supply chain attributes such as “capacity surplus”, “inventory level” and “replenishment frequency” are affected in opposite directions by some paradigms creating divergences.

The model relationships were established using an anecdotal approach derived from the literature review, reflecting only a partial view of supply chain dynamics. More research related to other supply chain attributes and/or paradigm practices, and validation of the proposed relationships is suggested.

The proposed model can be the basis for further research in lean, agile, resilient and green paradigms, contributing to a more sustainable and competitive lean supply chain with the necessary agility toward a quick response, resiliency to disruptions, and harmonization with the ecologic and environmental aspects.

To the authors' knowledge this paper is the first to provide an understanding about the tradeoffs among lean, agile, resilient and green supply chain paradigms.

The purpose of this paper is to identify the strengths and weaknesses of the current spare parts replenishment system of the Army. This exercise is being done with an aim to assess the capability of the current system to implement a time separated lean-agile system of spare parts replenishment.

The paper is based on a survey conducted on people in managerial ranks, working in the field of military logistics. The survey is thereafter summarised to ascertain the current status of spare parts replenishment system in the Army. The findings of the survey are elaborated at the end of the paper.

The strengths of the current spare parts replenishment system are highlighted. This is followed with the weaknesses of the system in implementing a dynamic lean-agile replenishment system.

The paper is aimed at assessing the capability of the current spare parts replenishment system and its ability to adapt to a novel replenishment system that is lean in peacetime to save money and agile during war to increase reliability of equipment achieved by a certainty of supply. The survey conducted on the persons actually involved in this logistics reveals areas that need emphasis in order to achieve such a time separated lean-agile replenishment system.

This study aims to analyze and understand mutual relationships between lean and agile enabling factors in the context of the construction domain and put forth the most driving and dependent enablers for a hybrid lean–agile system (HLAS).

A threefold research flow is adopted. First, the content analysis of literature stemmed from the identification of preliminary enablers (n = 26). Second, a questionnaire survey (n = 101) is administered to downsize enablers to ten using the relative importance index. Further, in the third phase, interpretive structural modeling (ISM) and the cross-impact matrix multiplication applied to classification analysis were performed amid the ten key enablers through pairwise interactions from subject matter experts (n = 19). Hierarchical representation of enablers has been presented, which facilitates a conceptual model for application in the construction industry.

The ISM model demonstrates a three leveled classification structure that showcases direct and transitive relationships among various enablers. “Use of project management tools” is the driving enabler, followed by “collaborative and common data platform working” and “institution of team training” are critical enablers to HLAS adoption.

A structured way of identification of interdependent among lean–agile is a vital unique contribution to this study. The results serve as a knowledge base for practical adoption of HLAS and may prove to be influential in developing a framework for easier adoption in developing countries.

This paper aims to respond to the high cost of facility management-enabled building information model (FM-BIM) creation and maintenance, a significant and under-researched barrier to adoption for existing buildings. The resultant approach focuses on only value-adding content (“Lean”) developed flexibly and iteratively in collaboration with end-users (“Agile”).

Five case studies were developed for university and hospital buildings in collaboration with end-users, guided by the process presented. These informed the refinement of a robust and flexible approach to increase BIM functionality with minimal geometry, focusing instead on the development of specific parameters to map semantic information necessary for each desired FM use.

The resulting BIM provided a breadth of model functionality with minimal modeling effort: 15 hours average implementation time per supported FM use. This low level of effort was achieved by limiting geometry to where it is necessary for the FM use implementation. Instead, the model incorporated the majority of geometry by reference and focused on semantic and topological parameters to house FM information.

This study provides the basis for a new ontology structure focused on defining the rules for hosting asset management data (host entity, parameter type and characteristics) to reduce the reliance on complex geometric model development.

By prioritizing highly beneficial applications, early investment is minimized, providing quick returns at low risk, demonstrating the value of FM-BIM to end-users.

The Lean-Agile approach addresses the known research gap of low-effort, flexible approaches to FM-BIM model creation and maintenance and its effectiveness is analyzed through five case studies.

Armies around the world face the dilemma of reaching the right size of the logistics chain, without compromising the effectiveness of it. The stocking of spares for maintaining the equipment and the vehicles of the army is done with just in case philosophy which results in huge inventories that have associated holding and carrying costs. Material managers of the army must learn lessons from the industry about rightsizing their inventories. Concepts like lean and agile must find place in managing spares of army. Both these concepts have their inherent positives which must be exploited by making use of them at the opportune time. The paper aims to discuss these issues.

The paper starts with discussing the case study of spare parts supply of army. The paper then presents a framework where both lean and agile methods of managing inventory can be used in army. The paper also brings out salient aspects of both these concepts as relevant to spares management in army. The paper also proposes use of automation incorporating MIMOSA database and Ontology-based knowledge repositories.

The paper brings out the fact that both lean and agile supply chains can be used for spares replenishment in army. The paper also gives out a framework to implement the concept.

This concept has been used in the field of healthcare, however, this paper is original in its approach to use it for the army spare parts replenishment. Use of Ontology and MIMOSA as proposed in the paper is also an original attempt.

Today, proficient practices are required to stimulate along various boundaries of the supply chain (SC) to exploit manufacturing resources economically, effectually and gracefully for retaining operational excellence. Accordingly, varieties of paramount practices, i.e. Lean, Agile, Resilient and Green practices, are integrated in present study with the objective to develop a Decision Support Framework (DSF) to select robust supplier under the extent of Lean-Agile-Resilient-Green (LARG) practices for a manufacturing firm. The framework is developed and validated in the Indian automotive sector, where the primary data is collected based on perceptions of the respondents working in an automotive company.

LARG metrics can ponder ecological balance, customer satisfaction, associations, effectiveness and sustainability and thus, the study consolidated LARG practices in one umbrella to develop a DSF. The analytical approach under DSF is developed by the integration AHP, DEMATEL, ANP, Extended MOORA and SAW techniques in present study to evaluate a robust supplier under the aegis of LARG practices in SC. DSF is developed by scrutinizing and categorizing LARG characteristics, where the selected LARG characteristics are handled by fuzzy sets theory to deal with the impreciseness and uncertainty in decision making.

The study has identified 63 measures (15 for Lean, 15 for Agile, 14 for resilient and 19 for Green) to support the robust supplier selection process for manufacturing firms. The findings of study explicate “Internal communication agility”, “Interchangeability to personnel resources”, “Manufacturing flexibility”, “degree of online solution”, “Quickness to resource up-gradation”, “Manageability to demand and supply change”, “Overstocking inventory practices” as significant metrics in ranking order. Additionally, “Transparency to share information”, “Internal communication agility”, “Manufacturing Flexibility”, “Green product (outgoing)” are found as influential metrics under LARG practices respectively.

A technical DSF to utilize by the managers is developed, which is connected with knowledge-based theory and a case of an automobile manufacturing firm is presented to illustrate its implementation. The companies can utilize presented DSF to impose service excellence, societal performance, agility and green surroundings in SC for achieving sustainable outcomes to be welcomed by the legislations, society and rivals. The framework represents an important decision support tool to enable managers to overcome imprecise SC information sources.

The study presented a proficient platform to review the most significant LARG alternative in the SC. The study suggested a cluster of LARG metrics to support operational improvement in manufacturing firms for shifting gear toward sustainable SC practices. The present study embraces its existence in enrolling a high extent of collaboration amongst clients, project teams and LARG practices to virtually eradicate the likelihood of absolute project failure.

In the modern manufacturing environment, it is imperative to apply the manufacturing concepts of lean, agile, resilient and green, collectively known as LARG manufacturing, to achieve excellence in which lean manufacturing eliminates wastes; agile manufacturing makes processes fast, efficient and flexible; resilient paradigm deals with countering the uncertainty while green manufacturing improves environmental performance. The objective of this study is to develop an integration framework that synergizes LARG manufacturing with Industry 4.0.

Through a literature review, the authors have explored the possibility of collaboration between constituents of lean, agile, resilient and green manufacturing with the facets of Industry 4.0.

The authors have developed a comprehensive integration framework that has been divided into 11 phases and 31 steps in which the various Industry 4.0 facets have supplemented the lean, agile, resilient and green paradigms.

This investigation and adoption of technologically intensive automation shall provide clarity to practitioners regarding the synergy of LARG manufacturing & Industry 4.0, so that fast and efficient manufacturing processes can be achieved.

The framework provides detailed insight towards implementation of LARG practices in a manufacturing organization in coalescence with Industry 4.0 practices.