MILP approaches to sustainable production and distribution of meal elements

Akkerman, Renzo; Wang, Yang; Grunow, Martin

doi:10.1109/iccie.2009.5223667

Cited by 14 publications

(4 citation statements)

References 16 publications

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“…Few authors integrated lot-sizing and replenishment policies with product distribution planning. Akkerman et al [6] developed a mixed-integer linear programming (MILP) formulation to support production and distribution planning for prepared meals. Their formulation allows evaluating the supply chain performance and the trade-off between economic and environmental objectives.…”

Section: Relevant Literaturementioning

confidence: 99%

Utilizing energy transition to drive sustainability in cold supply chains: a case study in the frozen food industry

et al. 2022

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In alignment with the ever-growing interest in adopting sustainable practices, this paper devises a cold supply chain (CSC) planning model that integrates the three pillars of sustainability into the decision-making process while accounting for the shift towards clean energy sources. Interrelated decisions pertaining to production-distribution strategy, backorder and inventory levels, choice of truck type, and selection of third-party logistics (3PLs) providers are jointly optimized. For global CSCs in specific, such decisions are particularly sensitive to the energy sources of the refrigerated facilities and the accompanying levels of CO2 emissions generated. As such, a multi-objective mixed-integer non-linear programming (MINLP) model is developed and then solved via the weighted-sum method. In essence, the model seeks to operationalize sustainability goals by considering the rapidly evolving transition in energy sources across different regions when deciding on which 3PLs to engage in a contractual agreement with while adjusting the production and distribution strategy accordingly. The practical relevance of the model is illustrated using a case study drawn from the North American frozen food industry. The conducted trade-off analysis indicates the possibility of obtaining a drastic improvement of 86% in jobs’ stability levels (social measure) with a maximum cost increase of around 9% as compared to the economic measure. Furthermore, the analysis reveals that it is possible to reduce 71% of CO2 emissions while attaining 63% reduction in worker variations at the expense of only 4.47% cost increase once compared to solely optimizing the economic objective.

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Section: Relevant Literaturementioning

confidence: 99%

Utilizing energy transition to drive sustainability in cold supply chains: a case study in the frozen food industry

et al. 2022

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“…Only a few studies apply multi-objective optimization in food supply chains to account for economic and environmental indicators (Govindan et al 2014;Soysal et al 2014;Validi et al 2014;Akkerman et al 2009), but focus mainly on optimizing strategic distribution and location/allocation problems, and not production planning decisions. In these aforementioned studies CO 2 emissions are used as an indicator for environmental performance.…”

Section: Introductionmentioning

confidence: 99%

Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization

et al. 2016

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Due to tremendous losses of resources in modern food supply chains, higher priority should be given to reducing food waste and environmental impacts of food production. In practice, multiple production options are available, but must be quantitatively assessed with respect to economic and environmental performances before they are adopted in food supply chains. The objective of this paper is to develop a mathematical model that can be used for such a quantitative assessment of alternative production options that are associated with different ways to deal with waste in food supply chains, i.e. prevention, recycling, and disposal of food waste. We develop a multi-objective mixed integer linear programming model to derive the set of eco-efficient solutions corresponding to production planning decisions. Environmental performance of the chain is expressed with an indicator based on exergy analysis, which has the potential to capture other commonly used indicators, such as energy consumption, fuel consumption, and waste generation, and express them in a single value. This simplifies the calculation of the eco-efficient frontier, and enables its intuitive graphical representation, which is much easier to communicate to the involved decision makers. The applicability of the developed model is demonstrated on a real-life industrial bread supply chain in the Netherlands. Results confirm the findings from literature that prevention is the best waste management strategy from environmental perspective. The advantages of using exergy as an indicator to capture the environmental performance is demonstrated by comparing the outcomes to other commonly used indicators of environmental performance. We illustrate the potential of studying food production planning decision problems in a multi-objective context, and demonstrate the applicability of the model in the assessment of alternative production options.

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“…Amorim et al (2012) present a multi-objective model to minimize the costs, and maximize the remaining shelf life of a perishable product. Akkerman et al (2009) study sustainable production and distribution of industrially prepared meal elements, while taking into account products' quality degradation. To ensure the product's quality, its enthalpy levels in the developed mathematical model must be below a given threshold when delivered to customers.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Only a few studies apply multi-objective optimization in FSCs to account for economic and environmental indicators (Govindan et al, 2014a;Soysal et al, 2014;Validi et al, 2014a;Akkerman et al, 2009), but focus mainly on optimizing strategic distribution and location/allocation problems, and not production planning decisions. In these aforementioned studies CO 2 emissions are used as an indicator for environmental performance.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization for eco-efficient food supply chains

Banasik¹

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Introduction 1.1 Introduction to the research project 1.2 Research problem description 1.3 Research objective and questions 1.4 Methodological design 1.5 Thesis outline 2 Multi-criteria decision making approaches for green supply chains: a review Abstract 2.1 Introduction 2.2 Conceptual framework 2.3 Literature review method 2.4 Results 2.5 Discussion and conclusions 3 Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization Abstract 3.1 Introduction 3.2 Problem description 3.3 Case study 3.4 Sensitivity analysis 3.5 Discussion and managerial insights 3.6 Conclusions and future research Appendix 1 Appendix 2 4 Closing loops in agricultural supply chains using multi-objective optimization: a case study of an industrial mushroom supply chain Abstract 4.1 Introduction 4.2 Literature review 4.3 Industrial mushroom production 4.4 Results 4.5 Discussion 4.6 Conclusions 5 Accounting for uncertainty in eco-efficient agri-food supply chain: a multi-objective two-stage stochastic optimization model for mushroom production planning Abstract 5.1 Introduction 5.2 Literature review 5.3 Illustrative real-life case study 5.4 Results 5.5 Discussion and conclusions 6 Conclusions and general discussion 6.1 Conclusions 6.2 Scientific contribution and integrated findings 6.3 Managerial impact 6.4 Future research directions Summary References Acknowledgements Completed Training and Supervision Plan Chapter 1.2.2 Multi-criteria decision making It is clear that studying sustainability in supply chains requires the consideration of multiple goals. Any design of a supply chain usually involves trade-offs among different conflicting RQ4: What is the impact of including uncertainty of data in optimization models on ecoefficient solutions in a food supply chain? 1.4 Methodological design A considerable amount of literature describing quantitative approaches for eco-efficient supply chains is available and is the basis for answering RQ1. A comprehensive literature review is conducted to identify indicators to account for eco-efficiency and to investigate what MCDMThis thesis includes a collection of four papers that discuss or apply the use of MCDM for ecoefficient FSCs. The papers are either published or under review for journal publication. The subsequent chapters comprise these papers, which address each research question. An overview of the thesis is shown in Figure 1.1. Chapter 2 reviews the literature on the use of MCDM approaches applied to eco-efficient supply chains. Chapter 3 discusses the assessment of alternative production options and compares the solutions when different environmental objectives are considered. Chapter 4 introduces a closed-loop industrial mushroom supply chain and proposes a model for an assessment of alternative production options and closing loop technologies. Chapter 5 proposes a two-stage stochastic production planning model to account for uncertainty in an eco-efficient FSC. Chapter 6 discusses the summarized findings and conclusions from the research...

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MILP approaches to sustainable production and distribution of meal elements

Cited by 14 publications

References 16 publications

Utilizing energy transition to drive sustainability in cold supply chains: a case study in the frozen food industry

Utilizing energy transition to drive sustainability in cold supply chains: a case study in the frozen food industry

Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization

Multi-objective optimization for eco-efficient food supply chains

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