Decision Making Applications in Management and Engineering最新文献_第8页

Game problem of assigning staff to project implementation 分配员工执行项目的博弈问题

Decision Making Applications in Management and Engineering Pub Date : 2023-01-01 DOI: 10.31181/dmame622023713

Agnieszka Kowalska-Styczeń, P. Kravets, V. Lytvyn, V. Vysotska, Oksana Markiv

引用次数: 1

Decision making on consistent customer centric inventory model with quality sustenance and smart warehouse management cost parameters 基于质量维持和智能仓库管理成本参数的以客户为中心的库存模型决策

Decision Making Applications in Management and Engineering Pub Date : 2023-01-01 DOI: 10.31181/dmame622023649

Renee Miriam, N. Martin, A. Rezaei

引用次数: 2

Solving an integral equation via intuitionistic fuzzy bipolar metric spaces 用直觉模糊双极度量空间求解一个积分方程

Decision Making Applications in Management and Engineering Pub Date : 2023-01-01 DOI: 10.31181/dmame622023624

Gunaseelan Mani, A. Gnanaprakasam, N. Kausar, Muhammad Munir, Salma Khan, E. Ozbilge

引用次数: 2

Risk assessment for pharmaceutical industry in uncertain environment: An integrated multi-criteria decision-making approach 不确定环境下制药行业风险评估:综合多准则决策方法

Decision Making Applications in Management and Engineering Pub Date : 2023-01-01 DOI: 10.31181/dmame622023688

Astha Sharma, Dinesh Kumar, N. Arora

{"title":"Risk assessment for pharmaceutical industry in uncertain environment: An integrated multi-criteria decision-making approach","authors":"Astha Sharma, Dinesh Kumar, N. Arora","doi":"10.31181/dmame622023688","DOIUrl":"https://doi.org/10.31181/dmame622023688","url":null,"abstract":"The pharmaceutical industry is the backbone of the healthcare system for any country. However, this industry faces various risks, which hamper its efficient working in providing life-saving medicines/services to the people. In this context, the purpose of the study is to improve the resilience and performance of the pharmaceutical industry (PI) with the identification, and assessment of supply chain (SC) risks. A case illustration has also been presented in the Indian context. The study utilizes an extensive literature survey and the Delphi method for identifying, finalizing, and classifying the risks into seven categories. The Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) has been used to analyze and prioritize the risks to determine their criticality. The results show that the three most important risks are financial, supplier, and demand/customer/market. Within these risks, the three most critical sub-risks are found to be loss of customers, raw material (RM) issues, and bad reputation of the company, respectively. The study provides managers with an extensive list of PI risks for their consideration. The results also present the critical risks which need to be mitigated for enhanced performance and resilience of the industry. The study also emphasizes the importance of interconnection between various SC partners for better risk management.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69623332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Probabilistic linguistic q-rung orthopair fuzzy Archimedean aggregation operators for group decision-making 群体决策的概率语言q阶正交模糊阿基米德聚集算子

Decision Making Applications in Management and Engineering Pub Date : 2023-01-01 DOI: 10.31181/dmame622023527

Medikonda Jaya Ranjan, Bonda Pavan Kumar, T. D. Bhavani, Annam Venkata Padmavathi, Vinod Bakka

{"title":"Probabilistic linguistic q-rung orthopair fuzzy Archimedean aggregation operators for group decision-making","authors":"Medikonda Jaya Ranjan, Bonda Pavan Kumar, T. D. Bhavani, Annam Venkata Padmavathi, Vinod Bakka","doi":"10.31181/dmame622023527","DOIUrl":"https://doi.org/10.31181/dmame622023527","url":null,"abstract":"To express uncertain and imprecise information systematically, the concept of probabilistic linguistic q-rung ortho-pair fuzzy set (PLqROFS), which is an advanced version of linguistic intuitionistic fuzzy set and linguistic Pythagorean fuzzy set, considering the instantaneous occurrence of stochastic and non-stochastic-uncertainty. There isn't yet any literature on PLqROFSs that addresses the issue of the relative importance of experts and criteria. The evaluation's findings consequently become irrational. Additionally, the aggregation operators that are currently available on PLqROFSs are too rigid. The primary goal is to resolve these problems by creating a new methodology that makes use of a new flexible aggregation operator. In this paper, a novel integrated framework is suggested to address concerns with group decision-making in PLqROFSs settings by combining the strengths of the power average operator (PAO), the Archimedean operator, and the full consistency method (FUCOM). With the extended variance approach on PLqROFSs, the weight of decision experts is methodically determined in this line. Additionally, the FUCOM on PLqROFSs is used to determine the weight of the criterion. Some probabilistic linguistic q-rung ortho-pair fuzzy Archimedean weighted and power weighted aggregation operators are suggested to aggregate decision experts' preferences. To discuss the viability of the suggested technique, the challenge of choosing a CO2 storage location is given. As alternatives, we have taken into account oilfields, gas fields, basalt formations, and coal resources. Basalt is the best choice, according to the outcome. The stability of our method is demonstrated by the sensitivity analysis of the criteria weights. The comparative analysis demonstrates that, in comparison to the ones already in use, our model is more significant and realistic.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69623518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

An application of a novel grey-CODAS method to the selection of hub airport in North Africa 一种新的灰色codas方法在北非枢纽机场选择中的应用

Decision Making Applications in Management and Engineering Pub Date : 2023-01-01 DOI: 10.31181/dmame0313052022i

I. Badi, Abdulaziz Alosta, O. Elmansouri, Ali M. Abdulshahed, Salem Elsharief

引用次数: 7

Decision making in operator-machine assignment problems: an optimization approach in U-shaped production lines 操作-机器分配问题的决策:u型生产线的优化方法

Decision Making Applications in Management and Engineering Pub Date : 2023-01-01 DOI: 10.31181/dmame622023808

Á. Bányai

{"title":"Decision making in operator-machine assignment problems: an optimization approach in U-shaped production lines","authors":"Á. Bányai","doi":"10.31181/dmame622023808","DOIUrl":"https://doi.org/10.31181/dmame622023808","url":null,"abstract":"Decision-making is a complex problem in all fields of production, because decision makers have to find the most suitable solution alternative among the numerous, while the solution of the problem is limited by multiple, usually conflicting constraints. In the Industry 4.0 era, one of the most widely used production lines are the U-shaped production lines, which focus on the elimination of waste through a high utilization of workers. It means, that worker-machine assignment plays a significant role in the optimization of production processes in a U-shaped production line. The current investigation proposes a novel absorbing Markov chain (AMC) optimization approach to support the decision making regarding worker selection and assignment. The proposed approach integrates the AMC and the performance analysis of the production process. The numerical results validated the decision making model and showed that optimal worker-machine assignment can lead to about 20% production cost reduction, while the key performance indicators (KPI) of the U-shaped production line are significantly increased. The sensitivity analysis of influencing factors made it possible to identify the critical factors of this decision making problem, such as the qualification of operators, time of technological and logistics operations, and maintenance policy.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69624128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Job shop scheduling using heuristics through Python programming and excel interface 通过Python编程和excel界面使用启发式的车间调度

Decision Making Applications in Management and Engineering Pub Date : 2022-10-15 DOI: 10.31181/dmame0316102022n

Padmanabhan Sowmia Narayanan, Nitish Shankar Kumar, Raghuram Potluru, Thenarasu Mohanavelu

引用次数: 3

Modification of the CRITIC method using fuzzy rough numbers 模糊粗糙数对CRITIC方法的改进

Decision Making Applications in Management and Engineering Pub Date : 2022-10-15 DOI: 10.31181/dmame0316102022p

D. Pamučar, M. Zizovic, Dragan Đuričić

引用次数: 19

Optimisation of spot-welding process using Taguchi based Cuckoo search algorithm 基于Taguchi的Cuckoo搜索算法在点焊工艺优化中的应用

Decision Making Applications in Management and Engineering Pub Date : 2022-10-15 DOI: 10.31181/dmame0318062022c

S. Chaki, D. Bose

引用次数: 2