An Efficient Inventory Model-Based Ga for Food Deterioration Products in the Tourism Industry

‎Al-Salami, Qusay H.; Saleh, Rabeea Kh.; Al-Bazi, Ammar

doi:10.1590/0101-7438.2022.042.00257447

Cited by 2 publications

(3 citation statements)

References 29 publications

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“…When considering plot creation, usually two or three main components are enough. However, for modeling objectives, it is vital to precisely ascertain the suitable quantity of significant components (Wold et al, 1987;Patil, 2021;Al-Salami et al, 2022b).…”

Section: Literature Reviewmentioning

confidence: 99%

Principal Component Analysis Technique for Finding the Best Applicant for a Job

Jameel

‎Al-Salami

2023

Cihan U Erbil J H SOC SCI

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This paper focuses on the use of principal component analysis technique (PCA) in choosing the best applicant for a job in Cihan University-Erbil. Cihan University has a panel of judges (University staff) to help in choosing the applicants for a job by evaluating or rating each one on different scale of preference and different type of characteristics. This process usually creates complicated multivariate data structure, which consists of 25 applicants for a job rated by a panel of judges on 17 characteristics [25 rows, applicants, and 17 columns, characteristics]. PCA plays a crucial role in conducting impactful research as it offers a potent technique for analyzing multivariate data. Researchers can utilize this method to extract valuable information that aids decision-makers in problem-solving. To ensure the appropriateness of data for PCA, certain testing procedures are necessary. In this study, two tests, namely the Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy and Bartlett's Test of Sphericity, were performed, and their significance is vital. The findings indicate that the data employed in this research are suitable for PCA. Scoring and ranking procedures as extra tools were used to see that applicant No. (1) is the first accepted for a job, applicant No. (17) is the second, applicant No. (12) is the third, and so on.

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Section: Literature Reviewmentioning

confidence: 99%

Principal Component Analysis Technique for Finding the Best Applicant for a Job

Jameel

‎Al-Salami

2023

Cihan U Erbil J H SOC SCI

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“…Rajesh and Vinod [23] investigated the impact of deterioration and the cost of replacement on the best inventory choices for a system of two substitutable goods, where one item is made up of two complementary components. Al-Salami et al [24] presented a study where an efficient Genetic Algorithm (GA) based inventory control model was created to reach optimal cost and reorder levels of foodrelated deteriorating products. Feng et al [25] developed and inventory model for perishable goods where demand curve is dependent on unit price, display stock and the expiry date.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Equations ( 23), (24), and ( 25) are simplified by factorising like terms and substituting the relevant terms with (13), to obtain.…”

Section: Cycle Lengthmentioning

confidence: 99%

An economic order quantity model for two deteriorating items with mutually complementary price and time dependent demand

Mahlangu,

Adetunji,

Sebatjane

2023

Scientia Iranica

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We present an inventory model to determine the optimal selling price and cycle time for two mutually complementary commodities that are subject to deterioration. Each commodity's demand is influenced by its own selling price, the selling price of the complementary product, and the passage of time. Numerical examples and sensitivity analysis results are presented to demonstrate the usefulness of the inventory model. We conducted sensitivity analysis on the impacts of the changes in key parameters of the model on the decision variables and the objective (profitability) of the inventory system. We observed that as the deterioration rate of either item increases, the model proposes shorter replenishment cycle length, which reduces the profit. Our model's novelty is the inclusion of mutual (twoway) complementarity in the Economic Order Quantity (EOQ) model, where both items are deteriorating and have time-dependent demands.

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An Efficient Inventory Model-Based Ga for Food Deterioration Products in the Tourism Industry

Cited by 2 publications

References 29 publications

Principal Component Analysis Technique for Finding the Best Applicant for a Job

Principal Component Analysis Technique for Finding the Best Applicant for a Job

An economic order quantity model for two deteriorating items with mutually complementary price and time dependent demand

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