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Most successful companies have adopted some type of improvement methodology to achieve optimum performance, high quality, lower costs and productivity. Some of the structured methodologies employed indiscriminately are total quality management, quality control, agile, lean and Six Sigma which yield varied results. The purpose of this paper is to explore how to harness the power of an integrated system of quality tools and techniques to create operational excellence. An integrated framework involves matching quality tools and techniques to the multi-phases (input, transformation and output) of lean manufacturing or service ecosystem.

Current research of lean quality systems provides a conceptual understanding of core tools employed by manufacturing and service organizations. Interviewing domain experts from a series of manufacturing and service organizations highlighted a common challenge. The challenge was lean tools and methodologies were selected and employed arbitrarily for the different operational phases, which resulted in selective synergies of tools between operational phases. This limitation resulted in rework and duplication of quality efforts through the diverse phases of the transformation system. This study is based on the hypothesis that all phases of an operational system must be linked by common tools and methodologies which enables harnessing quality benefits and synergies throughout the entire operational system. The study methodology trailed through cooperative inquiry using a case study approach to design an integrated framework of tools that facilitates a common platform for manufacturing or service ecosystems.

This study suggests that quality systems in a complex competitive environment must consider an integrated iterative approach. An iterative development of lean quality tools for multiple phases produces an integrated quality system. Such systems employ blending and extending of lean quality tools to multiple phases of the transformation system to synthesize agile and versatile quality system.

A limitation of this study is that the research of integrated framework is based on repertory grid technique only; it should be supplemented by other methods. Second, the proposed framework does not consider the complexity added by the internal and external stakeholders as they interface with the integrated system at different points with reference to phases of the system.

One of the advantages of this method is its generality, instead of delivering a monolithic system at the culmination of long transformation process we rely on smaller quality sprints which are implemented sequentially at each stage or phase of the transformation system. The phenomena of incremental clustering of time-series of quality sprints for different phases results in true integration from end to end for a transformation system.

This study helps investigate the personal constructs that users and managers employ to interpret and select quality tools or methodologies for the different phases of lean transformational system.

This study aims to understand the impact of blending quality and business process improvement tools and methodologies to enhance outcomes. The basis of this study is “the power of multiplicity” through which a diverse collection of improvement paths is pooled into an integrated framework of quality tools for lean and efficient operations.

In the healthcare management domain, there is a lack of knowledge concerning the role of resilience practices in improving patient safety. The purpose of this paper is to understand the capabilities that enable healthcare resilience and how digital technologies can support these capabilities.

Within- and cross-case research methodology was used to study resilience mechanisms and capabilities in healthcare and to understand how digital health technologies impact healthcare resilience. The authors analyze data from two Italian hospitals through the lens of the operational failure literature and anchor the findings to the theory of dynamic capabilities.

Five different dynamic capabilities emerged as crucial for managing operational failure. Furthermore, in relation to these capabilities, medical, organizational and patient-related knowledge surfaced as major enablers. Finally, the findings allowed the authors to better explain the role of knowledge in healthcare resilience and how digital technologies boost this role.

When trying to promote a culture of patient safety, the research suggests healthcare managers should focus on promoting and enhancing resilience capabilities. Furthermore, when evaluating the role of digital technologies, healthcare managers should consider their importance in enabling these dynamic capabilities.

Although operations management (OM) research points to resilience as a crucial behavior in the supply chain, this is the first research that investigates the concept of resilience in healthcare systems from an OM perspective, with only a few authors having studied similar concepts, such as “workaround” practices.

This paper proposes a two-level supply chain including suppliers and manufacturers. The purpose of this paper is to design a resilient fuzzy risk-averse supply portfolio selection approach with lead-time sensitive manufacturers under partial and complete supply facility disruption in addition to the operational risk of imprecise demand to minimize the mean-risk costs. This problem is analyzed for a risk-averse decision maker, and the authors use the conditional value-at-risk (CVaR) as a risk measure, which has particular applications in financial engineering.

The methodology of the current research includes two phases of conceptual model and mathematical model. In the conceptual model phase, a new supply portfolio selection problem is presented under disruption and operational risks for lead-time sensitive manufacturers and considers resilience strategies for risk-averse decision makers. In the mathematical model phase, the stages of risk-averse two-stage fuzzy-stochastic programming model are formulated according to the above conceptual model, which minimizes the mean-CVaR costs.

In this paper, several computational experiments were conducted with sensitivity analysis by GAMS (General algebraic modeling system) software to determine the efficiency and significance of the developed model. Results show that the sensitivity of manufacturers to the lead time as well as the occurrence of disruption and operational risks, significantly affect the structure of the supply portfolio selection; hence, manufacturers should be taken into account in the design of this problem.

The study proposes a new two-stage fuzzy-stochastic scenario-based mathematical programming model for the resilient supply portfolio selection for risk-averse decision-makers under disruption and operational risks. This model assumes that the manufacturers are sensitive to lead time, so the demand of manufacturers depends on the suppliers who provide them with services. To manage risks, this model also considers proactive (supplier fortification, pre-positioned emergency inventory) and reactive (revision of allocation decisions) resilience strategies.

Commercial banks face several risks, including credit, liquidity, operational and disruptive risks. In addition to these risks that are challenging for banks to control and manage, crises and disasters can exert substantially more destructive shocks. These shocks can exacerbate internal risks and cause severe damage to the bank's performance, leading banks to bankruptcy and closure. This study aims to facilitate achieving resilient banking policies through a model-based assessment of business continuity management (BCM) policies.

By applying a system dynamics (SD) methodology, a systemic model that includes a causal structure of the banking business is presented. To build a simulation model, data are collected from a commercial bank in Iran. By presenting the simulation model of the bank's business, the consequences of some given crises on the bank's performance are tested, and the effectiveness of risk and crisis management policies is evaluated. Vensim Personal Learning Edition (PLE) software is used to construct the simulation model.

Results indicate that the current BCM policies do not show appropriate resilience in the face of various crises. Commercial banks cannot create sustainable value for the banks' shareholders despite the possibility of profitability, as the shareholders lack adequate resilience and soundness. These commercial banks do not have the appropriate resilience for the next pandemic after coronavirus disease 2019 (COVID-19). Moreover, the robustness of the current banking business model is very fragile for the banking run crisis.

A forward-looking view of resilient banking can be obtained by combining liquidity coverage, stable funding, capital adequacy and insights from stress tests. Resilient banking requires a balanced combination of robustness, soundness and profitability.

The present study is a combination of bank business management, risk and resilience management and SD simulation. This approach can analyze and simulate the dynamics of bank resilience. Additionally, present of a decision support system (DSS) to analyze and simulate the outcomes of different crisis management policies and solutions is an innovative approach to developing effective and resilient banking policies.

The coronavirus disease 2019 (COVID-19) pandemic has subjected a considerable strain on the healthcare (HC) systems around the world. The most affected countries are developing countries because of their weak HC infrastructure and meagre resources. Hence, building the resilience of the HC system of such countries becomes essential. Therefore, this study aims to build a resilience-based model on the HC sector of Pakistan to combat the COVID-19 and future pandemics in the country.

The study uses a novel hybrid approach to formulate a model based on resilient attributes (RAs) and resilient strategies (RSs). In the first step, the multi-criteria decision-making (MCDM) technique, i.e. full consistency method (FUCOM) is used to prioritize the RAs. Whereas, the fuzzy quality function deployment (QFD) is used to rank the RSs.

The findings suggest “leadership and governance capacity” to be the topmost RA. Whereas “building the operational capacity of the management”, “resilience education” and “Strengthening laboratories and diagnostic systems” are ranked to be the top three RSs, respectively.

The model developed in this study and the prioritization RAs and RSs will help build resilience in the HC sector of Pakistan. The policymakers and the government can take help from the prioritized RAs and RSs developed in this study to help make the current HC system more resilient towards the current COVID-19 and future pandemics in the country.

A new model has been developed to present a sound mathematical model for building resilience in the HC sector consisting of FUCOM and fuzzy QFD methods. The main contribution of the paper is the presentation of a comprehensive and more robust model that will help to make the current HC system of Pakistan more resilient.

This paper is motivated by the gap between the extensive academic discussion of industrial resilience and the limited resilience observed in response to large disruptions. Its purpose is to investigate the relationship between the industrial resilience of manufacturing and service operations and the resilience of the supporting financial, legal and political systems. This research identifies the impact of high or low levels of resilience in these supporting systems on the ability of industrial operations to perform as required in disrupted environments.

The authors combine a multi-disciplinary literature review with empirical data from four exploratory case studies. First, the authors review the literature on resilience in the fields of operations management, finance, law and political science to bring the terminology and concepts of these fields closer together. This review also defines the independent variables of the study: financial, legal and political resilience. Second, the authors use the framework from the literature to analyse data from four case studies of operations in difference contexts and sectors.

Industrial resilience is interdisciplinary, nuanced and complex. High levels of industrial resilience require high levels of financial, legal and political resilience. However, the activities required to improve the resilience of these supporting systems are often outside the locus of control of operations managers. Multiple perspectives on resilience must be coordinated to strengthen the response of industrial operations to large disruptions.

As a conceptual and exploratory study, this paper does not utilise quantitative data or in-depth case studies. The authors demonstrate the importance of an interdisciplinary perspective on industrial resilience and provide a theoretical framework that can serve as a foundation to further studies of resilience. The review of the literature provides a glossary of definitions of resilience that improves clarity in this disparate field.

Managers can apply the findings of this work to start cross-functional discussions in their firms that recognise the multiple dimensions of industrial resilience and improve the resilience of the supporting systems. The exploratory case studies provide concrete guidance for how managers in the fields of humanitarian and development operations, healthcare and manufacturing can improve industrial resilience by considering the interaction with the supporting financial, legal and political systems.

This study is the first to provide detailed conceptual discussion and empirical evidence for the interdisciplinary nature of industrial resilience in the context of public sector and non-governmental organisations. Combining evidence from different contexts and sectors demonstrates the broad industrial value of this work.

This study aims to examine the interrelationship between resilience, robustness and bullwhip effect using an inventory- and order-based production control system being subjected to operational disruption in the customer demand process.

Control engineering techniques and simulation are employed for the supply chain dynamics study.

The results show that resilience and robustness are two conflicting performance characteristics and therefore, a tradeoff can be established between them. It is also observed that improvement in resilience and reduction of bullwhip effect can be achieved simultaneously through a proper selection of control parameters.

The work establishes a relationship between the resilient behavior of a supply chain and bullwhip effect.

Business environments and global transportation system have become more complex than ever due to complexity drivers of industries which create uncertainty and unpredictability to organizations. Like other industries, the maritime business faces different and difficult problems which threaten organizational survival. The ability to cope with those uncertainties, threats and problems shows the resilience ability of organizations that help to survive and prosper. The organizational resilience concept arises as a requirement to deal with problems and uncertainties of business environments which are swiftly changing. This study aims to suggest an organizational framework to show how maritime business organizations as the sea leg of global transportation system can develop resilient organizations via complex adaptive systems (CAS) approach if adequate design features of CAS could be defined and included in organizational properties.

A total of 15 CAS features were identified as the enablers of organizational resilience throughout the literature. An interpretive structural modeling (ISM) approach has been conducted to determine the mutual relation between the CAS features which constitute an organizational framework. These CAS features have been categorized by conducting MICMAC analysis.

This study proposes a framework that identifies CAS features as the enabler of resilient maritime business organizations. The CAS approach offers new managerial toolkit to realize current organizational situations and allows managers to understand that it is difficult to control their system in this dynamic environment where special management practices are required especially in volatile times rather than ordinary times. Also, organizations could not compete as a sole organization but as a web/system of organizations. CAS is more resilient than other systems because resilience is the emergent occurrence of the system formed from nonlinear, dynamic interactions with self-organized agents.

The research has some limitations, like organizational resilience studies are in the infant stage and further research into this area should be extended. This study uses the CAS approach to develop organizational resilience. Further studies could use different lenses and contemporary subjects in management field which should also be useful while developing resilience in organizations. This study uses ISM and MICMAC analysis where further studies could use quantitative design and methods like formal concept analysis or the decision making trial and evaluation laboratory to determine the relational weighs of CAS features while developing resilient organizations. Future studies may also focus on different maritime stakeholders like IMO or ILO, maritime agencies, freight forwarders or insurance underwriters regarding developing and enhancing resilience of the maritime system.

World trade and transportation systems are getting more uncertain and lean on complex relations where maritime transportation is a “vital backbone” of such operations. But becoming more complex structures leads to vulnerable systems and organizations. Most risk management applications are based on predicting the known risks where many of them are not enough to fight with unknowns. Coping with today's problems are difficult for organizations in any industry. But for maritime business stakeholders who work in such a global web of relations, it is much more challenging. So, stakeholders of the system like forwarders, ports or ship chandlers may easily apply those features to develop resilient organizations too. Legal authorities of the system and rule-makers like local Chambers of Shipping, IMO or Classification societies can benefit from this framework and provide supportive settings to develop system-wide resilient organizations.

By understanding environmental uncertainty and complexity better than others, organizations become resilient and cope with significant difficulties which make them more competitive as a substantial strategic advantage. Resilient management offers to break down points at the system and shows them ways to restore quickly while transporting goods while traditional risk assessments are not enough.

The originality of the study lies in two folds; first of all the key and most used features of CAS is linked to developing resilient maritime organizations and by maritime expert opinions, this study tries to determine which of these CAS features are the most effective to trigger other features to develop organizational resilience in the maritime business. And secondly, the concept of organizational resilience and the CAS approach are not analyzed in depth in the context of maritime business.

This chapter examines the key issues around organisational resilience – what it means for organisations, and the key elements they need to consider if they are looking to increase the ability of their operations to withstand challenges in their environment. Organisations have always had to adapt to changes in their environment, whether as a result of market-based, political, regulatory or technological developments. However, the pace of change and the number and frequency of external shocks, such as the global financial crisis, the COVID-19 epidemic, war and increasing nationalism, inflation, labour shortages, cyber-security threats and environmental crises have increased over recent years. Whilst some of these events could have been foreseen, in that they emerge relatively slowly, such as increasing nationalism, other crises, such as the COVID-19 pandemic could not have been readily anticipated, both for the speed at which it occurred, but the significant impact it had on people and organisations. Clearly, many of these events can have severe consequences not only for society but also for organisations, potentially threatening their survival. Hence organisations are increasingly recognising the need to be both more aware of potential threats or even opportunities by constantly monitoring their environment, but also creating contingency or mitigation plans to become more resilient to such change and shocks. By becoming more aware of changes in their environment and incorporating risk evaluations and mitigation plans into strategy and regular business planning cycles, organisations can become more adaptive and agile to respond more quickly and robustly to such events. Whilst it is not possible to fully mitigate all risks to the organisation, increased resilience can reduce the severity or longevity of negative impacts or support the organisation to seek opportunities from change.

This chapter introduces the concept of overall organisational resilience, and then discusses some more functional areas of resilience: operational, financial, technological, reputational and institutional. The chapter concludes with a consideration of the effects of building greater organisational resilience and what organisations should consider when evaluating where to start on such a journey.

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.