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The purpose of this paper is to present a mathematical model that illustrates the trade‐offs between sustainability, demand, costs, and profit in a supply chain with a single supplier and a single manufacturer.

It is assumed that a single product is produced and sold on a market where demand is sensitive to price and quality. Sustainability is treated as a quality attribute and is measured in terms of the levels of scrap and emissions generated in the supply chain. It is assumed that the emissions and scrap can be controlled by varying production rates or by investing in production processes. The impact of cooperative and non‐cooperative behaviour between the supplier and the manufacturer is explored. Numerical studies are used to illustrate the behaviour of the model.

The analysis shows that the supplier and the manufacturer can attract additional customers by controlling scrap and emissions. The behaviour of the supplier and the manufacturer are dictated by the decision criteria, such as changes in the level of sustainability, used by customers to evaluate the product. It is shown that the profit of the system is higher and that the level of quality is lower in the case of cooperation than in the case of non‐cooperation.

Several areas for future work are highlighted. The study of alternative demand functions, linking sustainability to a monetary component, including additional players, and incorporating additional sustainability indicators all offer possibilities for extending the model.

There is an identified need for analytical models that consider sustainability in the supply chain. The results are especially important for companies operating in markets where customers perceive the sustainability of a product as a quality criterion.

Currently, digital technology has been proposed as a new archetype for developing an effective traceability system in the perishable food supply chain (FSC). Implementation of such a system needs significant investment and the burden lies with the members of the supply chain. The purpose of this paper is to examine the impact on the profit of the supply chain members due to the implementation of an effective traceability system with such a large investment. The study also tries to explore the impact of the implementation of such a system by coordination among the members through a cost-sharing mechanism.

A two-level supply chain that comprises a supplier and retailer is analyzed using a game-theoretic approach. The mathematical models are developed considering the scenario for an individual, centralized and both members invest using a cost-sharing mechanism. For each of the models, the impact of product selling price, information sensing price and quality improvement level on profit is analyzed through numerical analysis.

The study reveals that consumer involvement can be a strong motivation for the supply chain members to initiate investment in the traceability system. Further, from an investment perspective cost-sharing model is beneficial compared to the individual investment-bearing model. This mechanism can coordinate as well as benefit the FSC members. However, the model is less beneficial to the centralized model from profit and quality improvement levels.

Food wastage can be less from supplier and retailer perspectives. Moreover, consumers can purchase food items only after verifying their shipping conditions. Consequently the food safety scandals can be reduced remarkably.

Digital technology adoption in the perishable FSC is still considered emerging. The present study helps organizations to implement a traceability system in the perishable FSC through consumer involvement and a cost-sharing mechanism.

This paper analytically models and numerically investigates two operating levers, namely optimization of product price and optimization of product quality in the context of a manufacturer that sells the products directly in the marketplace. The study attempts to identify how optimizing product quality and product price can fulfill a manufacturer's economic aims such as maximization of the manufacturer's profit and market demand. Anchored to the extant literature, the demand is modeled as a parametric joint multiplicative function of price and quality. Further, price is modeled as a function of product quality.

First, the authors evolve the analytical expression for the manufacturer's profit. Thereafter, following the mathematical principles of unconstrained optimization, the authors arrive at the conditions for optimal product quality and product price. The authors further perform numerical experiments to understand the behavior of economic dimensions such as profit and demand with respect to sensitivities associated with cost, quality and price.

The authors find that under product quality optimization, the optimal product quality is a unique solution in that a highest possible theoretical manufacturer's profit is obtained. However, in the case of product price optimization, the optimal product price is non-unique and is a function of product quality. The authors further find that in the context of functional quality-level expectations, product quality optimization as an operating lever gives a better dividend. However, in the case of higher product quality expectations, product price optimization performs better than product quality optimization. Further, several novel findings are also obtained from numerical experimentations.

The findings of the authors' study have implications for types of industries characterized by relatively low as well as relatively high competitive intensity. Further, as opposed to several extant studies that have often carried out joint optimization of quality and price, the authors' study is one of the first to study the impact of product price and product quality on the manufacturer's economic objective in a disparate and focused manner, thus capturing individual effects.

This paper aims to give a comprehensive review, summary, and discussion on inventory models that have appeared in the literature. During these past ten decades, no seminal paper reviewing the field of inventory lot sizing has even been published. This limitation has been identified in the literature by several researchers over the years, with the sheer volume of the number of published inventory lot sizing models acting as a factor which has limited a research endeavor to review the literature on inventory lot sizing models.

This article reviews research on inventory lot size models and provides a review of previously published literature review papers on inventory models. Based on this initial review, the literature extending current research practices on inventory modeling in supply chains and in sustainable practices is presented. Directions for expanding research in these two areas are examined in light of concerns expressed in the historical use of inventory models and in light of a new inventory research paradigm.

In our paper, we have adopted a novel strategy to overcome this limitation by focusing our review on a review of inventory lot sizing review papers.

By adopting the methodology of reviewing published inventory review papers, we can contribute a comprehensive review of the inventory lot sizing literature that serves to provide in one paper a consolidation of inventory research that can serve as a single source to keep researchers up to date with the research developments in inventory lot sizing models. We also identify gaps in the field which could stimulate new research agendas in the areas of supply chain management and sustainable inventory practices.

The purpose of this paper is to develop a theorization of the unintended consequences of sustainable supply chain management (SSCM).

The authors integrate extant theory of unintended consequences, sustainable supply chain management and paradox theory to develop a typology of the unintended consequences of SSCM initiatives and a conceptual model of the antecedents of these unintended consequences.

The authors advance a mutually exclusive and collectively exhaustive typology of the unintended consequences of SSCM initiatives. These unintended consequences include trade-offs as well as synergies in the form of positive spillover. The authors’ conceptual model identifies multiple levels of stakeholders, multiple performance dimensions, multiple time horizons and the interplay with social construction as antecedents to the unintended consequences of SSCM initiatives.

The authors’ typology suggests that managers must move beyond simply assessing whether the intended consequences of an SSCM initiative have been achieved. Managers must also, to the extent they can, assess the potential for unintended consequences to arise. The authors’ typology provides an initial roadmap for managers to continue, discontinue or further consider an SSCM initiative, based on the resulting unintended consequences. The authors’ theorization also provides guidance about how managers can more successfully bring SSCM initiatives to fruition and start cycles of learning.

There largely has been a focus in the operations and supply chain management literature on trade-offs between economic performance on the one hand and social or environmental performance on the other. The authors advocate that this focus needs to shift to interactions within and between social and environmental performance. Further, trade-offs are only one type of unintended consequence. By developing a mutually exclusive and collectively exhaustive typology, the authors introduce a much clearer conceptualization of the unintended consequences of an SSCM initiative and a much better understanding of how to manage SSCM initiatives, both prior to and postimplementation.

This paper studies a supply chain consisting of multiple suppliers and a single buyer. It considers the case where a set of heterogeneous trucks is used for transporting products, and develops a mathematical model that coordinates the supply chain. The purpose of this paper is to minimise the costs of producing and delivering a product as well as carbon emissions resulting from transportation. In addition, the authors analyse how imposing a tax on carbon emissions impacts the delivery of products from the suppliers to the buyer.

It is assumed that heterogeneous vehicles are used for transporting products, which have different performance and cost attributes. A mathematical model that considers both operating costs and carbon emissions from transportation is developed. The impact of vehicle attributes on lot sizing and routing decisions is studied with the help of numerical examples and a sensitivity analysis.

The analysis shows that considering carbon emissions in coordinating a supply chain leads to changes in the routing of vehicles. It is further shown that if carbon emissions lead to costs, routes are changed in such a way that vehicles travel long distances empty or with a low vehicle load to reduce fuel consumption and therewith emissions.

Several areas for future work are highlighted. The study of alternative supply chain structures, for example structures which include logistics service providers, or the investigation of different functional relationships between vehicle load and emission generation offer possibilities for extending the model.

The paper is one of the first to study the use of heterogeneous vehicles in an inventory model of a supply chain, and one of the few supply chain inventory models that consider ecological aspects.

The priority giving to green practices in today's competitive market has made green logistics management practices (GLMPS) a significant driver of organizational performance. The purpose of this study is to explore the influence of GLMPS, logistics ecocentricity and supply chain traceability on sustainability performance.

The study uses structured questionnaires to gather data from 274 managers of manufacturing firms in Ghana. The partial least square structural equation modeling approach is used to analyze the data to test the proposed hypotheses.

The results obtained from the analysis indicate that GLMPS positively influence social sustainability and environmental sustainability. However, GLMPS negatively influence business performance. The results further reveal that logistics ecocentricity and supply chain traceability augment GLMPS to achieve significant improvement in both business performance and environmental sustainability through the mediation effect approach.

The study proposes a conceptual framework that tests the combined effect of GLMPs, logistics ecocentricity and supply chain traceability on environmental sustainability, social sustainability and business performance from the Ghanaian perspective.

This research integrates maintenance planning and production scheduling from a green perspective to reduce the carbon footprint.

A mixed-integer nonlinear programming (MINLP) model is developed to study the relation between production makespan, energy consumption, maintenance actions and footprint, i.e. service level and sustainability measures. The speed scaling technique is used to control energy consumption, the capping policy is used to control CO2 footprint and preventive maintenance (PM) is used to keep the machine working in healthy conditions.

It was found that ignoring maintenance activities increases the schedule makespan by more than 21.80%, the total maintenance time required to keep the machine healthy by up to 75.33% and the CO2 footprint by 15%.

The proposed optimization model can simultaneously be used for maintenance planning, job scheduling and footprint minimization. Furthermore, it can be extended to consider other maintenance activities and production configurations, e.g. flow shop or job shop scheduling.

Maintenance planning, production scheduling and greenhouse gas (GHG) emissions are intertwined in the industry. The proposed model enhances the performance of the maintenance and production systems. Furthermore, it shows the value of conducting maintenance activities on the machine's availability and CO2 footprint.

This work contributes to the literature by combining maintenance planning, single-machine scheduling and environmental aspects in an integrated MINLP model. In addition, the model considers several practical features, such as machine-aging rate, speed scaling technique to control emissions, minimal repair (MR) and PM.

The purpose of this paper is to evaluate the research conducted among the interim, dyadic interactions that bridge the stand-alone measures of economic, environmental and social performance and the level of sustainability, as suggested in the Carter and Rogers (2008) framework.

This paper conducts a systematic literature review based on the Tranfield et al. (2003) method of the articles published in 13 major journals in the area of supply chain management between the years 2010 and 2016. Results were analyzed using an expert panel.

The area of research between environmental and social performance is sparse and relegated to empirical investigation. As an important area of interaction, this area needs more research to answer the how and why questions. The economic activity seems to be the persistent theme among the interactions.

The literature on the “environmental performance and social performance (ES)” interactions is lacking in both theoretical and analytical content. Studies explaining the motivations, optimal levels and context that drive these interactions are needed. The extant research portrays economic performance as if it cannot be sacrificed for social welfare. This approach is not in line with the progressive view of sustainable supply chain management (SSCM) but instead the binary view with an economic emphasis.

To improve sustainability, organizations need the triple bottom line (TBL) framework that defines sustainability in isolation. However, they also need to understand how and why these interactions take place that drive sustainability in organizations.

By examining the literature specifically dedicated to the essential, interim, dyadic interactions, this study contributes to bridging the gap between stand-alone performance and the TBL that creates true sustainability. It also shows how the literature views the existence of sustainability is progressive, but many describe sustainability as binary. It is possible that economic sustainability is binary, and progressive characterizations of SSCM could be the reason behind the results favoring economic performance over environmental and social.

The purpose of this paper is to explore and further explain the phenomena of supplier participation in addressing the sustainability-oriented objectives of a supply chain. Specifically, the paper explains how a buyer can integrate sustainability concerns among its suppliers. The study is based in the context of the Indian school feeding (mid-day meal) program and approaches the issue from the perspective of a mid-day meal provider.

This paper first explains how the mid-day meal providers in India explicitly address the social and economic dimensions of sustainability. Thereby, it conducts an exploratory case study on a renowned meal provider with the objective to understand the nature of its efforts toward supplier participation through in-depth interviews.

As evident in the case, from the buyer’s perspective, the key to success in winning supplier participation in addressing the sustainability-oriented supply chain objectives largely revolves around efforts along the critical aspects of policy development, policy implementation, and intent building with suppliers.

This paper propagates a threefold value by outlining the central importance of the focus on efforts and challenges for understanding supplier participation in sustainable supply chain management (SSCM). First, the paper is among the initial studies to focus on ground-level efforts and challenges for a mid-day meal provider, and outlines best practices. Second, the case presents revelatory insights on SSCM from the perspective of supplier participation. For example, it demonstrates the relevance of supply-chain-based social identification in governing supplier willingness to participate in a buyer’s SSCM. Third, the findings also extend critical implications toward SSCM theory and practice.