Economic and environmental models for cold products with time varying demand

Shamayleh, Abdulrahim; Hariga, Moncer; As’ad, Rami; Diabat, Ali

doi:10.1016/j.jclepro.2018.11.180

Cited by 27 publications

(17 citation statements)

References 61 publications

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“…There are numerous regional studies from around the world (e.g., from Latin America [13]; from Scandinavia [14]) indicating volumes of truck emissions in national contexts. Similarly, Shamayleh et al [15] point out the significance of civic concerns and currently developing legislation on environmental issues. This results into the fact that enterprises should take up a more rigid view on responsibility.…”

Section: Perspectives On Truck Freight Emissions and Pollutionmentioning

confidence: 99%

Reviewing Truck Logistics: Solutions for Achieving Low Emission Road Freight Transport

Inkinen

Hämäläinen

2020

Sustainability

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Low emission logistics have become an expected and desired goal in all fields of transportation, particularly in the European Union. Heavy-duty trucks (HDTs) are significant producers of emissions and pollution in inland transports. Their role is significant, as in multimodal transport chains truck transportation is, in most cases, the only viable solution to connect hinterlands with ports. Diesel engines are the main power source of trucks and their emission efficiency is the key challenge in environmentally sound freight transportation. This review paper addresses the academic literature focusing on truck emissions. The paper relies on the preliminary hypothesis that simple single solutions are nonexistent and that there will be a collection of suggestions and solutions for improving the emission efficiency in trucks. The paper focuses on the technical properties, emission types, and fuel solutions used in freight logistics. Truck manufacturing, maintenance, and other indirect emissions like construction of road infrastructure have been excluded from this review.

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Section: Perspectives On Truck Freight Emissions and Pollutionmentioning

confidence: 99%

Reviewing Truck Logistics: Solutions for Achieving Low Emission Road Freight Transport

Inkinen

Hämäläinen

2020

Sustainability

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“…Their research demonstrates that incorporating carbon-related costs through carbon tax regulation may result in a slight increase in operating costs, but can save carbon-related costs. Different from the above literature that considered a deterministic demand, Abdulrahim et al [7] optimized the replenishment strategy for a firm who is facing a discrete time-varying demand for cold product. They also presented three mathematical models (cost, carbon footprint, and hybrid) and got the conclusion as same as Hariga got.…”

Section: Logistics Planning Models For Cold Chain Logisticsmentioning

confidence: 99%

“…From the above literature, firstly, it is observed that the incorporation of cargo damage and refrigeration factors in cold chain logistics' models is necessary [24]. Second, carbon regulations are a strong constraint in controlling the emissions, which were considered in many researches (e.g., carbon tax considered in Wang et al [10]; Hariga et al [16]; Abdulrahim et al [7]; carbon cap and trade considered in Qin et al [11]; Bai et al [15]). In summary, the research considering sustainability in cold chain logistics is relatively rich, covering a range of from single to multi-stage supply chain optimization.…”

Section: Logistics Planning Models For Cold Chain Logisticsmentioning

confidence: 99%

“…However, although its development promotes economic development to some certain extent, it also imposes a serious burden on the environment. When compared with normal logistics, the cold chain logistics need to use refrigeration equipment (e.g., refrigerated vehicle) to maintain the freshness of the products, which normal operation will consume enormous energy and produce significant carbon emissions simultaneously [7]. Adekomaya et al [8] reported that the fossil fuels that are used in transport refrigeration accounted for 15% of world's energy use and 40% of the global greenhouse effect comes from emissions that are generated from food transportation.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Integrated Inventory Routing Problem for Cold Chain Logistics Considering Carbon Footprint and Carbon Regulations

Yang

Qin

2019

Sustainability

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This paper studies the optimization of cold chain integrated inventory routing problem while considering carbon emissions. First, the carbon footprint in inventory and transportation process for cold chain logistics is accurately identified and quantified. Secondly, based on the carbon regulations, which are carbon cap, carbon cap and offset, carbon cap and trade, and carbon tax regulations, four green cold chain inventory routing optimization models that minimize the total cost are constructed, respectively. Subsequently, a genetic simulated annealing algorithm (GASA) is developed in order to efficiently solve the models, which combines the advantages of the two algorithms. The effectiveness of the algorithm and the models is verified by numerical comparison experiments. Further, a set of numerical experiments is conducted to examine in detail the effectiveness of each regulation with the change of cap, carbon price, and unit fuel price in order to investigate the difference of these regulations’ impacts on the cold chain logistics. The research results show that (a) the cap and price plays a relatively important role, for their value setting may even lead to the invalidation of the regulations and the development of the enterprises; (b) carbon cap and carbon tax regulations are more powerful when compared to the other two regulations, which reduce more carbon emissions, but also pose more challenge to the enterprises’ economic development; (c) overall, cap and trade regulation is better than cap and offset regulation, because, when the cap is not sufficient, the two regulations are almost as good, but when the cap is sufficient, the offset policy is invalid; and, (d) unlike the traditional logistics, the increase of unit fuel price will not reduce carbon emissions. Several practical managerial implications for government and enterprises are also provided based on research results.

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“…Sakulsom and Tharmmaphornphilas (2019) [19] developed heuristic algorithms to determine an ordering policy under varying demand with seasonal variation. Shamayleh et al (2019) [20] proposed a replenishment strategy for retailers who is facing a timevarying demand for cold products. To sum up, the above studies have taken the consideration of time-varying demand into their proposed models and have also broken the assumption of constant demand to extend possible applications of inventory models.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic EPQ Model for Time-Varying Demand Problem With Product Life Cycle

Fang

Yeh

2020

IEEE Access

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The study explores a dynamic economic production quantity model whose demand function in consideration of market-trend issue to decide the optimal number of production cycles, the corresponding optimal production time points, and the best time to withdraw from the production line. The objective function of the total relevant costs considered in the model is formulated as a nonlinear programming problem, and a complete search procedure is developed to find the optimal solution of inventory cost. The characteristics of daily necessaries, technology products and fashion products are also analyzed to develop different strategies for the decision makers. The proposed model and algorithm not only provided the optimal solution of the production period and cycle time but also gave the suggestion of the best time to withdraw from the market. Moreover, in order to provide the managers with useful information of the impacts of inventory cost, Monte Carlo technique is used to simulate the stochastic demand. In considering of the stochastic demand, the situation of shortage will definitely happen without or insufficient safe stock. Finally, a numerical example and the corresponding sensitivity analyses are carried out to illustrate the features of our model by utilizing the search procedure developed in this study. INDEX TERMS inventory; economic production quantity; product life cycle; time-varying demand.

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Economic and environmental models for cold products with time varying demand

Cited by 27 publications

References 61 publications

Reviewing Truck Logistics: Solutions for Achieving Low Emission Road Freight Transport

Reviewing Truck Logistics: Solutions for Achieving Low Emission Road Freight Transport

Optimization of Integrated Inventory Routing Problem for Cold Chain Logistics Considering Carbon Footprint and Carbon Regulations

A Dynamic EPQ Model for Time-Varying Demand Problem With Product Life Cycle

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