Addressing the supplier selection problem by using the analytical hierarchy process

Manik, Mehedi Hasan

doi:10.1016/j.heliyon.2023.e17997

Cited by 9 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Now, the company is running its business in different countries on 4 continents. The ACI is a Bangladesh-originated multinational corporation running its 42 business activities throughout the globe (Manik, 2023a). The main objective of a sales-based profitable organization is selling its products to customers.…”

Section: Introductionmentioning

confidence: 99%

Impact of customer calls consistency on sales with correlation between sales and its affecting variables

Manik

2024

jcrbef

View full text Add to dashboard Cite

ACI Pharma, the pharmaceutical wing of Advanced Chemical Industries (ACI) Limited, has faced a sales falling issue despite the remarkable promotional costs. The investigation has been done to find the association between the sales-affecting variables and sales. The required data have been collected from ACI Pharma. The proposed study uses sales and five influential variables, such as promotional cost, product knowledge, target customer coverage, random customer coverage, and call consistency, to investigate the expected association. Variables have considered the average performance of 634 salespeople from July to September 2023. Salesmen in the 80-100 cluster show more productivity and obedience than others. Product knowledge and promotional cost exhibit positive correlations with sales, but customer coverage numbers, either target or random, present a negative correlation with sales. The study only shows the direction of the relation between two variables rather than the mathematical impact of variables on sales. Future studies are required based on regression analysis for statistical inference of sales-affecting variables on sales. ACI Pharma is using the research output and benefiting. Other selling-based organizations suffering from similar problems may be beneficiaries of this study. The most significant value of the study is finding the role of call consistency in the sales performance of the sales reps.

show abstract

Section: Introductionmentioning

confidence: 99%

Impact of customer calls consistency on sales with correlation between sales and its affecting variables

Manik

2024

jcrbef

View full text Add to dashboard Cite

show abstract

“…A slightly more complex model was built in (Sharma et al, 2019) for dealing with deteriorating products. Some other existing models consider various specific situations such as rapid service demand (Alegoz & Yapıcıoglu, 2019) analytical hierarchy process (Manik, 2023) and machine learning (Ali et al, 2023), among others. Those models were built theoretically and simulated with randomly generated data.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Piecewise-Objective Optimization Model for Integrated Supplier Selection and Production Planning Problems Involving Discounts and Probabilistic Parameters: Single Period Case

SUTRISNO,

WIDOWATI,

UTOMO

2023

EPSTEM

View full text Add to dashboard Cite

In manufacturing and retail industries, supplier selection problems deal with allocating the optimal raw material amount that should be purchased to each supplier such that the procurement cost is minimal. Meanwhile, production planning problems deal with maximizing the product amount to be produced. Decision-makers need to take optimal decisions for those problem to gain the maximal revenue. In this paper, a novel mathematical model in the class of probabilistic piecewise programming is proposed as a decision-making support that can be used to find the optimal decision in solving both integrated supplier selection and production planning problems involving discounts and probabilistic parameters. The objective is to gain the optimal performance of the supply chain, i.e., maximizing the profit from the production activity. The model covers multi-raw material, multi-supplier, multi-product, and multi-buyer situations. Numerical experiments were conducted to evaluate the proposed model and to illustrate how the optimal decision is taken. Results showed that the proposed decision-making support successfully solved the problem and provided the optimal decision for the given problem. Therefore, the proposed model can be implemented by decision-makers/managers in industries.

show abstract

“…Finally, we compare the results from the switches with memory technology and rank our proposed ANP model higher than another mathematical model, the AHP [16]. • To validate the results' effectiveness, we evaluate several metrics such as recovery delay, jitter, packets received ratio, and throughput, and compare them with the AHP model.…”

mentioning

confidence: 99%

An Effective Selection of Memory Technologies for TCAM to Improve the Search Operations: Demonstration of Memory Efficiency in SDN Recovery

Alahmadi,

Chung

2024

Electronics

View full text Add to dashboard Cite

Ternary Content-Addressable Memory (TCAM) is used for storing the flow tables in software-defined networking (SDN)-based OpenFlow switches. However, the TCAM can store only a certain number of flow tables (8000). Moreover, when the switch flow tables need to be updated due to the link failure in the SDN, further updates may be lost due to the flow tables limit of the TCAM space. Hence, to resolve this issue, other memories need to be used in conjunction with TCAM to enhance the memory operations of TCAM. When considering which flash memory technology is to be used in conjunction with TCAM, we need to balance several factors to ensure optimal performance, speed, endurance, reliability, integration complexity, and cost-effectiveness. Hence, it leads to a multi-criteria decision-making problem regarding the selection of other memory technologies such as 3D XPoint, Magnetoresistive RAM, Resistive RAM, and Ferroelectric RAM. In this paper, we use the analytical network process (ANP) method to select the suitable technology in conjunction with TCAM, considering the features of the memory technologies for Software-Defined Internet-of-Things (SD-IoT). We provide a comprehensive numerical model leveraging the ANP to rank the memory technologies regarding their weights. The highest weights identify the most suitable technology for TCAM. We perform simulations to show the effectiveness of the mathematical model utilizing the ANP. The results show that the suggested methodology reduces the recovery delay, improves the packets received ratio (PRR), decreases the jitter, and increases the throughput.

show abstract

Addressing the supplier selection problem by using the analytical hierarchy process

Cited by 9 publications

References 36 publications

Impact of customer calls consistency on sales with correlation between sales and its affecting variables

Impact of customer calls consistency on sales with correlation between sales and its affecting variables

Probabilistic Piecewise-Objective Optimization Model for Integrated Supplier Selection and Production Planning Problems Involving Discounts and Probabilistic Parameters: Single Period Case

An Effective Selection of Memory Technologies for TCAM to Improve the Search Operations: Demonstration of Memory Efficiency in SDN Recovery

Contact Info

Product

Resources

About