The impact of preservation technology investments on lot-sizing and shipment strategies in a three-echelon food supply chain involving growing and deteriorating items

Sebatjane, Makoena

doi:10.1016/j.orp.2022.100241

Cited by 14 publications

(7 citation statements)

References 54 publications

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“…A processing step connects the agricultural and consumption (retail) stages, during which living inventory is converted into a consumable form. An integrated inventory model is developed by Sebatjane(2022) with the goal of optimizing the performance of the entire food supply chain. The processing echelon's goal is to convert live growing materials into processed food products.…”

Section: Growing Items Inventory Supply Chainmentioning

confidence: 99%

“…Giri et al (2018) , worked on the manufacturer-retailer supply chain model for inventory products with trade credit offers and profit sharing strategy, this model certainly benefits the manufacturer and retailer in a good manner. Since it benefits in a useful manner, we tried to implement this strategy in the three-echelon supply chain model for growing and deteriorating items in the work of Sebatjane(2022), with selling price-dependent demand and trade credit offers also with profit-sharing by the retailer to the processor is developed.…”

Section: Eoq/egq Models With Trade Credit Offersmentioning

confidence: 99%

“…The sales revenue of grower is given as, 𝑆𝑅 = 𝑝 𝛼1𝑔𝑤 . The grower's total profit is the sum of the setup and feeding cost of the live newborns, that is given by Sebatjane (2022). Every 𝑇 time units, the processor receives an order for 𝐿 weight units of inventory.…”

Section: Grower's Echelonmentioning

confidence: 99%

See 2 more Smart Citations

A sustainable inventory model for growing items considering carbon emissions, product expiry, and profit-sharing policy

Chandramohan¹,

Uthayakumar²

2023

10.5267/j.jfs

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In this article, a multi-echelon supply chain for growing and deteriorating items, where the grower has a lot of live newborn items (growing) is discussed. The grower transfers the matured inventory to the processor in each shipment. The processor begins to process the stock as a ready-sale product in the market. The processor also delivers the processed inventory to the retailer in each shipment in the non-processing period of his cycle length. Then the processor offers trade credit to the retailer and makes the retailer agree to share a portion of his profit with him. The product’s life cycle when in the hand of the retailer is certain and it expires after some time t. Carbon emission during processing is considered while packing and preserving the livestock for sale. Depending on these assumptions, there are six possibilities to discuss profit values. Sensitivity analysis was also brought to verify the optimal determined values. The profit-sharing sharing method’s outcome benefits the processor and the retailer more.

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Section: Growing Items Inventory Supply Chainmentioning

confidence: 99%

Section: Eoq/egq Models With Trade Credit Offersmentioning

confidence: 99%

See 1 more Smart Citation

A sustainable inventory model for growing items considering carbon emissions, product expiry, and profit-sharing policy

Chandramohan¹,

Uthayakumar²

2023

10.5267/j.jfs

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“…Pourmohammad-Zia et al [20] also extended an EOQ model for growing items in a three-level supply chain (supplier, producer, and multiple retailers) by establishing a trade-off between cost-efficiency and market coverage. Lately, Sebatjane [21] suggested some inventory management techniques for a multi-level supply chain for perishable foods that includes components that are deteriorating and growing. His study assumed that the farming echelon, where young growing items are bred until they reach an age of maturity, is at the upstream end of the supply chain.…”

Section: Introductionmentioning

confidence: 99%

Economic Growing Quantity Model with Mortality in Newborn Items and Inhibition Cost of Ammonia Production under All-Units Discount Policy

Nobil

Cárdenas–Barrón

et al. 2023

Sustainability

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The amount of global ammonia (NH3) emissions is growing continuously, similar to the damage to the environment, particularly humans and animals, caused by those emissions. Various problems derived from pollution by ammonia emissions have attracted increasing attention in recent years. In particular, accumulation of ammonia in poultry farms is a concern for the poultry industry as it can lead to possible damage due to reduced bird performance, damage to the respiratory tract and skin of birds, and thus loss of customers. As birds age, ammonia production increases due to factors such as feeding and mobility, requiring the application of solutions to reduce it such as the use of fans, feed supplements, and temperature adjustments to improve bird health. These solutions impose additional costs on poultry farms to combat ammonia emissions. This study presents a general economic growing quantity (EGQ) model that includes the cost of inhibition of ammonia production during the growing period. In addition, the model is formulated under an all-units discount policy, where the price of newborn items is related to the size of the order purchased from the supplier. Furthermore, the model assumed that some newborn items are dead when the lot is received because of stress experiences and incidents during the catching, loading, transportation, and unloading. Finally, two versions of the proposed general EGQ model are presented: EGQ with no discount and EGQ with known slaughter age.

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“…Food waste has recently been reported to be a serious economic problem. It is estimated that in the USA alone, the amount of food lost is close to 103 million tons, of which 39.8 million tons are wasted by the food processing industry [14]. For this reason, efforts are made by the food production industry to implement solutions that will help alleviate hunger, a phenomenon that is still present in many underdeveloped countries.…”

Section: Introductionmentioning

confidence: 99%

Machine and Deep Learning in the Evaluation of Selected Qualitative Characteristics of Sweet Potatoes Obtained under Different Convective Drying Conditions

et al. 2022

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This paper discusses the use of various methods to distinguish between slices of sweet potato dried in different conditions. The drying conditions varied in terms of temperature, the values were: 60 °C, 70 °C, 80 °C, and 90 °C. Examination methods included instrumental texture analysis using a texturometer and digital texture analysis based on macroscopic images. Classification of acquired data involved the use of machine learning techniques using various types of artificial neural networks, such as convolutional neural networks (CNNs) and multi-layer perceptron (MLP). As a result, in the convective drying, changes in color darkening were found in products with the following temperature values: 60 °C (L = 83.41), 70 °C (L = 81.11), 80 °C (L = 79.02), and 90 °C (L = 75.53). The best-generated model achieved an overall classification efficiency of 77%. Sweet potato dried at 90 °C proved to be completely distinguishable from other classes, among which classification efficiency varied between 61–83% depending on the class. This means that image analysis using deep convolutional artificial neural networks is a valuable tool in the context of assessing the quality of convective-dried sweet potato slices.

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The impact of preservation technology investments on lot-sizing and shipment strategies in a three-echelon food supply chain involving growing and deteriorating items

Cited by 14 publications

References 54 publications

A sustainable inventory model for growing items considering carbon emissions, product expiry, and profit-sharing policy

A sustainable inventory model for growing items considering carbon emissions, product expiry, and profit-sharing policy

Economic Growing Quantity Model with Mortality in Newborn Items and Inhibition Cost of Ammonia Production under All-Units Discount Policy

Machine and Deep Learning in the Evaluation of Selected Qualitative Characteristics of Sweet Potatoes Obtained under Different Convective Drying Conditions

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