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This work conducts a comprehensive analysis of how to incorporate resilience and sustainability into capacity expansion strategies for business-to-business (B2B) chemical supply chains. This study aims to guide both researchers and managers on ensuring profitability in B2B chemical supply chains while minimizing environmental impacts, complying with regulations and mitigating disruptions and risks.

A systematic literature review is conducted to analyze the interplay between sustainability and resilience in chemical B2B supply chains, specify the quantitative and qualitative methods used to tackle this challenge and identify the drivers and barriers concerning capacity expansion. In addition, a comprehensive conceptual framework is suggested to outline a compelling research agenda.

The findings emphasize the increasing importance of modeling and resolving decision-making challenges related to sustainable and resilient supply chains, particularly in capital-intensive chemical industries. Yet, there is no standardized strategy for addressing these challenges. The predominant solution methods are heuristic and metaheuristic, and the selection of performance metrics tends to be empirical and tailored to specific cases. The main barriers to achieving sustainability and resilience arise from resource limitations within the supply chain. Conversely, the key drivers of performance focus on enhancing efficiency, competitiveness, cost effectiveness and risk management.

This work offers practitioners a conceptual framework that synthesizes the knowledge and tackles the challenges of designing sustainable and resilient supply chains as well as managing their operations in the context of B2B chemical supply chains. Results provide a practical guide for navigating the complex interplay of sustainability, resilience and chemical supply chain expansion.

The key concepts and dimensions associated with capacity expansion planning for a resilient and sustainable chemical supply chain are identified through structured and comprehensive analyses of existing literature. A conceptual framework is proposed for delineating the intersections among sustainability, resilience and chemical supply chain expansions. This mapping endeavor aims to facilitate a future characterized by the deployment of a nexus of resilience and sustainability in chemical supply chains. To this end, a promising future research agenda is accordingly outlined.

The purpose of this paper is to explore the impact of supply capacity constraint, water delivery loss and fairness concern on the operational decisions/efficiency of the IBWT supply chain under the random precipitation.

Two game-theoretic decision models for the IBWT supply chain coordination considering water delivery loss without/with fairness concern under the supply capacity constraint and random precipitation are developed, analyzed and compared. On this basis, the corresponding numerical analyses are conducted and compared to derive the corresponding management insights and policy implications.

The research results indicate that the two-part tariff contract could effectively coordinate the IBWT supply chain and achieve operational performance improvement; the binding supply capacity constraint makes the water capacity to be allocated among IBWT distributors in accordance with fair shortage allocation rule and reduces the profit (or utility) of the IBWT supply chain and its members; the existence of fairness concern reduces the utility of the IBWT supply chain and its members; a lower precipitation utilization factor in the case with non-binding capacity constraint is beneficial for improving the profit/utility of the IBWT supply chain while a higher precipitation utilization factor in the case with binding capacity constraint is beneficial for improving the profit/utility of the IBWT supply chain; and reducing the water delivery loss rate, the mainline transfer cost, the branch-line transfer cost, the holding cost and the shortage cost and setting a higher retail price are beneficial for improving the profit/utility of the IBWT supply chain.

Two innovative coordination decision models under random precipitation are developed, analyzed and compared through game-theoretic approaches to investigate the impact of supply capacity constraint, water delivery loss and fairness concern on the operational decisions/efficiency of the IBWT supply chain, which have enhanced the optimization decision theory for the operations management of IBWT projects and provided a better decision support for the IBWT stakeholders to make better operations strategies.

The ability to detect disturbances quickly as they arise in a supply chain helps to manage them efficiently and effectively. The purpose of this paper is to demonstrate the feasibility of automatically and therefore quickly detecting a specific disturbance, which is constrained capacity at a supply chain echelon.

Different supply chain echelons of a simulated four echelon supply chain were individually capacity constrained to assess their impacts on the profiles of system variables, and to develop a signature that related the profiles to the echelon location of the capacity constraint. A review of disturbance detection techniques across various domains formed the basis for considering the signature-based technique.

The signature for detecting a capacity constrained echelon was found to be based on cluster profiles of shipping and net inventory variables for that echelon as well as other echelons in a supply chain, where the variables are represented as spectra.

Detection of disturbances in a supply chain including that of constrained capacity at an echelon has seen limited research where this study makes a contribution.

The purpose of this paper is to investigate capacity coordination in services supply chain (SSC). It provides discussion and application of various contracts in a two-stage single period SSC.

This paper considers a two-stage serial supply chain with demand uncertainty and price insensitivity. A model is developed to represent a global IT SSC incorporating services specific factors like over-capacity cost and higher degree of substitution resulting in flexibility to meet unplanned demand. At first, centralized and competitive solutions of the model are studied. Then, the paper studies coordination in this supply chain using some of widely used contract templates.

This paper finds several key insights for the researchers and practitioners in this area around adverse impact of over-capacity cost on demand, positive effect of delivery team’s exposure to market on contracting terms and better understanding of efficient frontiers for selected contracting mechanism.

This paper has limited its analysis to three key and most widely used contracts and made assumptions about risk-neutrality of the firms. Future research can study other contracting templates and/or relax for the model as laid out in this paper.

An automated software agent can be built leveraging the closed form equations developed here to help decide on optimal capacity investment and devise coordinating contracts.

This paper established that because of higher degree of substitution, perishability and non-trivial over-capacity cost, SSC behave bit differently than the physical goods supply chain and coordination of participating firms needs to be studied in a services specific context for improving system-wide performance.

This paper aims to seek to explain the influence of power asymmetry and the moderating role of an organization’s absorptive and desorptive capacity on enhancing supply chain competence from its orientation to open innovation with its supply network.

To perform this study, the authors use data collected from 262 European firms. They apply regression analysis to test the moderating role of an organization’s absorptive and desorptive capacity on enhancing its supply chain competence from its orientation to open innovation.

The results confirm both the influence of power asymmetry and absorptive capacity on obtaining benefits that derive from an organization’s orientation to open innovation. The results do not, however, support the moderating effect of an organization’s desorptive capacity. Subsequent analyses performed in the study show that organizations that achieve complementarity among their own absorptive capacity and the capacities of its supply network manage to obtain greater benefits from its orientation to open innovation.

This paper responds to the need to study innovation in the context of a supply network and respond to calls in the literature on open innovation and supply chain management for the need to study the moderating role of absorptive and desorptive capacity.

This research investigates the impact of Industry 4.0 technologies (I4.0) on the resilience of manufacturing firms against the COVID-19 pandemic. The study explores the mediating effects linked to the firm’s supply chain resilience and absorptive capacity in this relationship.

The empirical analysis involves 304 manufacturing firms and uses Partial Least Squares Structural Equation Modeling (PLS-SEM). A two-step hierarchical component model has been employed, considering the statistical analysis validation (reliability and validity) of the LOC and HOC models. The choice of the manufacturing industry is justified due to its degree of automation in emerging economies, such as Mexico, and its significant impact on job creation and the national gross domestic product.

The results confirm the positive impact of I4.0 technologies on companies’ resilience to COVID-19. They also support the indirect effects of the firm’s supply chain resilience and absorptive capacity. Absorptive capacity was found to have a higher significant indirect effect than supply chain resilience. Consequently, the study accentuates the significance of leveraging external knowledge and highlights the role of acquisition, assimilation, transformation, and exploitation capabilities in enhancing absorptive capacity.

The implications of this research extend to both manufacturing companies and public administrations, suggesting the need for I4.0 technologies implementation and supportive policies aimed at fostering absorptive capacity.

This research contributes to the literature by filling gaps in empirical studies in the context of developing economies. It provides valuable insights into the effects of I4.0 on absorptive capacity, supply chain resilience, and COVID-19 resilience, particularly in non-essential supply chains. It enriches the understanding of how I4.0 impacts the absorptive capacity and resilience of the supply chain during the COVID-19 crisis.

This study aims to describe in detail, a system dynamics-based study that was used to show how a large vertically integrated aquaculture company should approach its stepwise capacity expansion program, without undermining its financial performance or affecting the performance of the value chain.

The company and its aquaculture value chain are used as case study. A system dynamics model is developed on the basis of generic end-to-end agribusiness and aquaculture supply chain models. The model includes the unique dynamics relating to an aquaculture supply chain. Also modelled is the working capital management rules of the company, with the effects of the capacity expansion program on its working capital, market share and its supply chain obligations. The model is used to determine the long-term impact of the company’s working capital management under different modes of financing and rate of expanding the capacity.

For a large vertically integrated company that wants to increase its capacity, there is a systematic approach to working capital management that can be used to avoid financial distress or value chain distortion.

Extended the scope of system dynamics modelling within multiple disciplines, namely, agribusiness supply chain finance, supply chain capacity investment, financial management in large companies, supply chain working capital management and aquaculture value chain.

The developed model can be used to manage supply chain working capital in large vertically integrated agribusinesses, and also to assess supply chain financial risk.

To enhance the model build, discrete event simulation was used to model aspects of the system. The eventual system dynamics-discrete event simulation model is a form of hybrid simulation modelling that was used to provide a deeper understanding of how supply chain financial decisions affect an entire value chain system.

The purpose of this paper is to explain how a buying organization’s desorptive capacity relative to its supply network enhances the organization’s supply chain competence. The research also analyzes the contingent role of the balanced and combined dimensions of ambidexterity in this relationship.

Empirical results are obtained through analysis of survey data from a sample of 270 European firms. Hierarchical regression analysis is used to test the hypotheses.

The results confirm, first, the positive and significant relationship between the buying organization’s desorptive capacity and supply chain competence; and, second, the key moderating role of organizational ambidexterity, especially in its combined dimension, in this relationship.

The study suggests that desorptive capacity is key to the organization’s contribution to supply chain competitiveness. The authors also provide practitioners with better understanding of the extent to which they should attempt to balance exploration and exploitation or/and to maximize both simultaneously when seeking greater benefit from desorptive capacity.

This study extends desorptive capacity research to supply chain management. It responds to calls in the desorptive capacity literature for deeper understanding of the benefits of desorptive capacity and of the role organizational ambidexterity plays in the success of desorptive capacity. By analyzing the independent effects of the combined and balanced dimensions of ambidexterity, the authors advance conceptual and operational understanding of the role of ambidexterity needed in the literature.

The purpose of this paper is to steer the logistics efforts during different phases of cash and voucher and lead aid assistance operation to right destination by analyzing logistics data and converting it to feasibility information.

This research paper depends basically on a quantitative approach by depending on previous references relevant to this topic. Furthermore, interviews with experts in the field consider the dependable references for this research paper.

There are many findings in this research paper such as a simply logistics algorithm that could help logistics experts to determine the key components in market supply chains and draw different scenarios to clarify the full picture.

This research paper can be considered as reference for advance research papers in future. Furthermore, it stimulates academic researchers to open a serious discussion about logistics data analysis in all phases because it considers as a good source for decision-making information.

The purpose of this paper is to develop a simulation model capable of capturing the complex variables impacting the productivity of tunneling construction projects.

Simulation modeling is used to construct high‐level models of construction supply networks in order to perform quantitative analysis, enabling planners to work out the embedded complexities of the system.

This study presents a detailed simulation model of a real life tunnel construction project along with its supply chain of liner segments. Using this detailed model, a sensitivity analysis for the tunneling project shows the impact of chosen variables on the duration of a tunneling project; these results are used to verify the importance of considering the whole supply chain of a construction project in the planning stage.

Effective quality control, consideration of the shortage of storage space, and anticipation of required lead time when placing the first order to achieve the full storage capacity of liners before the start of a project are some practices that can be employed by construction organizations to address supply chain issues for tunneling projects.

Research into quantifying the benefits of implementing supply chain management (SCM) is very limited: the literature for the construction industry generally discusses how SCM concepts can be adopted, or what problems and challenges inhibit such adoption without analyzing and quantifying the effects of these techniques on an actual construction project.