A novel facility and equipment selection model for whey utilisation: A Brazilian case study

García-Flores, Rodolfo; Martins, Ricardo Silveira; Filho, Osmar Vieira de Souza; Mattos, Cristiano Rodrigues de; Rosenthal, Amauri; Juliano, Pablo

doi:10.1016/j.compag.2015.07.016

Cited by 6 publications

(3 citation statements)

References 20 publications

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“…The plant location selection problem is normally considered as a part of supply chain network design. To minimize the total cost as well as determine an optimal flow path for a product, previous studies have focused on demand variations, because the quality of decisions can easily vary due to supply and demand uncertainty, ambiguous information, and various social problems in the global business network [9,24,25]. It is likely that a stochastic model, rather than a deterministic approach, can be used to express demand uncertainty.…”

Section: Related Workmentioning

confidence: 99%

Plant Location Selection for Food Production by Considering the Regional and Seasonal Supply Vulnerability of Raw Materials

Park

Kim

et al. 2018

Mathematical Problems in Engineering

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A production capacity analysis considering market demand and raw materials is very important to design a new plant. However, in the food processing industry, the supply uncertainty of raw materials is very high, depending on the production site and the harvest season, and further, it is not straightforward to analyze too complex food production systems by using an analytical optimization model. For these reasons, this study presents a simulation-based decision support model to select the right location for a new food processing plant. We first define three supply vulnerability factors from the standpoint of regional as well as seasonal instability and present an assessment method for supply vulnerability based on fuzzy quantification. The evaluated vulnerability scores are then converted into raw material supply variations for food production simulation to predict the quarterly production volume of a new food processing plant. The proposed selection procedure is illustrated using a case study of semiprocessed kimchi production. The best plant location is proposed where we can reduce and mitigate risks when supplying raw material, thereby producing a target production volume steadily.

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Section: Related Workmentioning

confidence: 99%

Plant Location Selection for Food Production by Considering the Regional and Seasonal Supply Vulnerability of Raw Materials

Park

Kim

et al. 2018

Mathematical Problems in Engineering

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“…While there have been notable advancements in research on the green supply chain of the express industry, few studies have yet focused on the significance of equipment and facility selection in advancing the industry's sustainability and environmental friendliness. García-Flores et al (2015) introduce decision support models for selecting processing equipment based on budget constraints, equipment availability, and final product requirements to optimize the supply chain's production potential while maintaining environmental sustainability. Hodgett (2016) presents a software framework that evaluates three multi-attribute decision-making methods, including the Analytic Hierarchy Process (AHP), Multi-Attribute Range Evaluation (MARE), and ELimination Et Choix Traduisant la REalité trois (ELECTRE III) methods.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary game analysis of vehicle procurement in the courier industry from the perspective of green supply chain

Shi,

Hu,

Zhou

2024

10.5267/j.ijiec

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In the contemporary era, green development has become integral to modern industrial supply chains. Accelerating the green transformation of the supply chain in the express delivery industry poses a significant challenge in China. To address this challenge, we establish a trilateral evolutionary game model that considers the interdependent constraints involving the government, vehicle suppliers, and courier companies. This model aims to explore the optimal stable decisions for each stakeholder and the entire supply chain system. Through numerical simulations, we analyze the impact of key parameters on the stability of strategies and find that there are four Evolutionary Stable Strategies (ESS) in the system. Economic factors play a dual role: income-related factors encourage the adoption of green strategies by stakeholders, whereas cost-related factors extend the time required for stakeholders to transition to green strategies. For sustained production and utilization of new energy vehicles, the government must utilize a balanced system of rewards and penalties effectively. Vehicle suppliers and courier companies should collaborate for mutually beneficial outcomes, jointly fostering the green transformation of the supply chain with a focus on cost reduction and efficiency improvement. This study offers theoretical insights and methodological support for decision-makers in green supply chain management.

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“…Whey reverse logistics network design is first addressed by García-Flores et al (2015) in which the authors study an actual cluster of cheese makers in Minas-Gerais, Brazil. They formulate the problem as a HFLP with collection centers and plants as two levels of facilities.…”

Section: Introductionmentioning

confidence: 99%

Whey reverse logistics network design: a stochastic hierarchical facility location model

Esmaeilbeigi

Eshragh

García-Flores

et al. 2017

Syme, G., Hatton MacDonald, D., Fulton, B. And Piantadosi, J. (Eds) MODSIM2017, 22nd International Congress on Modelling and Si

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Whey reverse logistics has received a considerable attention due to the recent environmental legislation and competitive advantages. In this paper, we study a whey reverse logistics network design problem with stochastic demand, where demand is the amount of raw whey produced by a cheese maker that should be converted into a commercial product. We formulate this problem as a hierarchical facility location problem with two levels of facilities, namely collection centers and plants. Collection centers receive raw whey from cheese makers and convert it to concentrated whey. Then the concentrated whey is sent to plants for further processing. A plant can be established in a potential location if a collection center has already been established in that point. The objective is to determine which facilities to open and to allocate each demand point to the open facilities such that the total expected cost is minimized. The total cost is comprised of transportation cost and fixed cost of opening facilities. The problem with deterministic demand is formulated as a mixed integer linear program. We use this formulation to model the stochastic version of the problem as a two-stage stochastic program, where decisions are made at two sequential stages. At the first stage, we decide which facilities to open and at the second stage, after observing a realization of demands, we decide how to allocate each cheese maker to the open facilities. We use the sample average approximation method to estimate the expected value function. The resulting formulation can be solved using a standard linear solver. Results of a computational study on a set of randomly generated instances will be reported.

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A novel facility and equipment selection model for whey utilisation: A Brazilian case study

Cited by 6 publications

References 20 publications

Plant Location Selection for Food Production by Considering the Regional and Seasonal Supply Vulnerability of Raw Materials

Plant Location Selection for Food Production by Considering the Regional and Seasonal Supply Vulnerability of Raw Materials

Evolutionary game analysis of vehicle procurement in the courier industry from the perspective of green supply chain

Whey reverse logistics network design: a stochastic hierarchical facility location model

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