How does an industry control a decision support system for a long time?

被引:13
作者
Jani, Mrudul Y. [1 ]
Chaudhari, Urmila [2 ]
Sarkar, Biswajit [3 ,4 ]
机构
[1] Parul Univ, Parul Inst Engn & Technol, Dept Appl Sci & Humanities, Vadodara 391760, Gujarat, India
[2] Govt Polytech Dahod, Dahod 389151, Gujarat, India
[3] Yonsei Univ, Dept Ind Engn, 50 Yonsei Ro, Seoul 03722, South Korea
[4] Saveetha Univ, Saveetha Inst Med & Tech Sci, Saveetha Sch Engn, Dept Comp Sci & Engn, 162 Poonamallee High Rd, Chennai 600077, Tamil Nadu, India
基金
新加坡国家研究基金会;
关键词
Decision support system; quality of food; performance of foods; Gompertz function; Pseudomonas spices; INVENTORY MODEL; OPTIMAL REPLENISHMENT; MODIFIED GOMPERTZ; VARIABLE DEMAND; SUPPLY CHAIN; SHELF-LIFE; QUALITY; GROWTH; ADVERTISEMENT; TEMPERATURE;
D O I
10.1051/ro/2021063
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
The inventory system has been affected by many characteristics, among which deterioration of a food product is a critical issue. Chilled foods deteriorate during storage time, and their quality reduces over time. Indian Spiced Pulled Pork Sandwiches are very observable customer goods in India that are, in fact, unpreserved. If chilled foods' original value reduces over time, consumers are not much likely to buy them. The retail price of chilled food maintained is strictly dependent on its quality. From the vendor's approach, measuring quality and leftover value should be a severe commercial issue. The model aims to study deterioration together with the quality prediction of Indian Spiced Pulled Pork Sandwiches. This model measures food quality and leftover value. Deterioration rate is considered as a function of two-parameter Weibull distribution, suitable for bacterial inactivation, microbial growth, enzymes, nutrients, and pigments dreadful environments under a non-isothermal atmosphere. The dynamic structure of demand has its importance in business. The price-storage time of product-dependent demand rate is debated in this model as demand rarely remains constant. The objective is to maximize the vendor's total profit concerning storage time and the product's selling price. A numerical example supports the model. Sensitivity analysis is carried out to derive insights for decision-makers. The graphical result, in three dimensions, is exhibited with a supervisory decision.
引用
收藏
页码:3141 / 3152
页数:12
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