Sustainable Operations

Jaehn, Florian

doi:10.1016/j.ejor.2016.02.046

Cited by 119 publications

(79 citation statements)

References 309 publications

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“…Sustainable operations place a particular emphasis on managing economic, environmental, and social sustainability risks (Jaehn 2016). The sustainable management of SC risks is emphasized as an important strategic element.…”

Section: Sscm Risksmentioning

confidence: 99%

Stakeholder influences and risks in sustainable supply chain management: a comparison of qualitative and quantitative studies

Rebs

Brandenburg

Seuring

et al. 2017

Bus Res

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Stakeholder influences on sustainable supply chain management (SSCM) are of increasing interest for researchers to take into account economic, environmental, and social risks. While extant literature on stakeholder influences or risks in SSCM concentrates on selected issues, a comprehensive review of both stakeholder and risk constructs is missing. Hence, this paper examines stakeholder influences and risks in SSCM, as addressed by conceptual frameworks, empirical studies, and formal models to shed light on the trends and gaps in qualitative and quantitative SSCM research. Based on a content analysis of systematically selected journal publications, the commonalities and differences between the research designs are identified. The findings suggest that the integration of economic risks prevails over the consideration of environmental and social risks. Qualitative studies frequently focus on customers or multiple stakeholders that trigger SSCM and relate to supply, demand, and particularly reputational risks. In contrast, quantitative models rather concentrate on formalizing governmental triggers and operational risks. Thus, mutual stimuli between conceptual, empirical, and model-based SSCM research and their implications for future research directions are derived.

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Section: Sscm Risksmentioning

confidence: 99%

Stakeholder influences and risks in sustainable supply chain management: a comparison of qualitative and quantitative studies

Rebs

Brandenburg

Seuring

et al. 2017

Bus Res

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“…3 Recent work has focused on the management of forests and flora, 28 tactical and strategic decision-making systems for farm management, [29][30][31] improved crop and transport planning, [32][33][34] transport and movements in operations, 35 the basic application of OR in agriculture, 36 and the inclusion of reverse logistics flows and sustainable operations. 27,37 Some work has considered factors such as the maturation of fruits or vegetables for production in agri-industry, such as tomatoes, 38 or grapes destined for wine production. 39 Lean manufacturing is an industrial philosophy that concentrates on minimizing the waste generated in production systems.…”

Section: Background and Positioning Of This Paper Key Aspects Of Agrimentioning

confidence: 99%

Towards the integration of lean principles and optimization for agricultural production systems: a conceptual review proposition

2019

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Operative planning in agricultural production has historically had the objective of improving yields and quality. Sowing, cropping, and harvesting are usually treated independently, and waste and the sustainability of operations are generally not integrated into operational planning methodologies for agricultural production. This study shows the need to have a clear and precise methodology to minimize waste in agricultural production systems to ensure sustainability. This need is addressed with a novel methodological guide to minimizing waste in agricultural operations, crop maintenance, and harvesting. The proposed methodology is founded on the use of lean manufacturing as a waste‐management tool. Lean manufacturing principles allow agricultural operations and the variables that represent wastes to be identified, mathematical models to be built, constraints to be defined, and the cost of waste to be illustrated, as well as its minimization through an objective function. To guide implementation, we propose a conceptual model to explain the construction of a mathematical model that represents the development of decision variables on agricultural operations with the elements to consider and the constraints and theoretical proposal of the necessary objective function. The proposed conceptual model and the constructed methodology constitute a novel development within agricultural production systems that could be used by decision makers and farmers. © 2019 Society of Chemical Industry

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“…Gutjahr and Nolz [2] refined the scheme of Gralla et al [1] by partitioning the group "effectiveness" into the subgroups of response time, travel distance, coverage, reliability, and security and created seven groups of optimization criteria: (1) cost, including fixed cost for the procurement of equipment, supply-side travelling cost, facility-related cost, and the costs incurred for human resources; (2) response time, such as latest arrival time and average arrival time; (3) travel distance; (4) coverage, which measures the degree to which necessary services are provided to satisfy the demands; (5) reliability, which measures the probability of being able to steadily succeed with reference to other certain criteria, such as coverage or response time, in view of an uncertain environment; (6) security, which measures operation risks; (7) equity, normally measured by considering the worst-case value of a measure of disutility, such as the latest arrival time or smallest demand satisfaction rate as proposed by Gralla et al [1]; (8) distress, subsumed by Gutjahr and Nolz [2] in psychological or social costs. Furthermore, it is observed that sustainable development has become widely spread in recent years and more and more researchers focus their studies on sustainable operations by taking into consideration the factors of system's sustainability [3]. Besides, some studies are now devoted to the global environmental preservation and aim at minimizing the pollution emission [4].…”

Section: Optimization Criteriamentioning

confidence: 99%

“…(2) What kind of methods have been developed for solving such models efficiently and effectively? (3) What have been the novel aspects of the optimizations in OM in recent years?…”

Section: Scientific Programmingmentioning

confidence: 99%

A Survey of Recent Research on Optimization Models and Algorithms for Operations Management from the Process View

Fei

Shen

2017

Scientific Programming

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Over the past decades, optimization in operations management has grown ever more popular not only in the academic literature but also in practice. However, the problems have varied a lot, and few literature reviews have provided an overview of the models and algorithms that are applied to the optimization in operations management. In this paper, we first classify crucial optimization areas of operations management from the process point of view and then analyze the current status and trends of the studies in those areas. The purpose of this study is to give an overview of optimization modelling and resolution approaches, which are applied to operations management.

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Sustainable Operations

Cited by 119 publications

References 309 publications

Stakeholder influences and risks in sustainable supply chain management: a comparison of qualitative and quantitative studies

Stakeholder influences and risks in sustainable supply chain management: a comparison of qualitative and quantitative studies

Towards the integration of lean principles and optimization for agricultural production systems: a conceptual review proposition

A Survey of Recent Research on Optimization Models and Algorithms for Operations Management from the Process View

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