Demand Analysis of Joint Decision-Making Modeling of Equipment Maintenance and Spare Parts Inventory Based on PHM

2021 ◽  
Author(s):  
Ruifeng Yang ◽  
Wangchi Cheng
Keyword(s):  
Decision Making ◽  
Spare Parts ◽  
Demand Analysis ◽  
Equipment Maintenance ◽  
Joint Decision ◽  
Spare Parts Inventory

Spare parts inventory risk for decision making in plant maintenance

2016 ◽  
Author(s):  
Kamal Imran Sharif ◽  
Jafni Azhan Ibrahim ◽  
Zulkifli Mohamed Udin
Keyword(s):  
Decision Making ◽  
Spare Parts ◽  
Plant Maintenance ◽  
Spare Parts Inventory

scholarly journals Joint Optimization of Preventive Maintenance, Spare Parts Inventory and Transportation Options for Systems of Geographically Distributed Assets

Machines ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 55 ◽  
Author(s):  
Keren Wang ◽  
Dragan Djurdjanovic
Keyword(s):  
Decision Making ◽  
Preventive Maintenance ◽  
Spare Part ◽  
Spare Parts ◽  
Joint Optimization ◽  
Joint Decision ◽  
Geographically Dispersed ◽  
Simulation Based ◽  
The Right ◽  
Maintenance Schedules

Maintenance scheduling for geographically dispersed assets intricately and closely depends on the availability of maintenance resources. The need to have the right spare parts at the right place and at the right time inevitably calls for joint optimization of maintenance schedules and logistics of maintenance resources. The joint decision-making problem becomes particularly challenging if one considers multiple options for preventive maintenance operations and multiple delivery methods for the necessary spare parts. In this paper, we propose an integrated decision-making policy that jointly considers scheduling of preventive maintenance for geographically dispersed multi-part assets, managing inventories for spare parts being stocked in maintenance facilities, and choosing the proper delivery options for the spare part inventory flows. A discrete-event, simulation-based meta-heuristic was used to optimize the expected operating costs, which reward the availability of assets and penalizes the consumption of maintenance/logistic resources. The benefits of joint decision-making and the incorporation of multiple options for maintenance and logistic operations into the decision-making framework are illustrated through a series of simulations. Additionally, sensitivity studies were conducted through a design-of-experiment (DOE)-based analysis of simulation results. In summary, considerations of concurrent optimization of maintenance schedules and spare part logistic operations in an environment in which multiple maintenance and transpiration options are available are a major contribution of this paper. This large optimization problem was solved through a novel simulation-based meta-heuristic optimization, and the benefits of such a joint optimization are studied via a unique and novel DOE-based sensitivity analysis.

Research of Stochastic Demand Spare Parts Inventory for Equipment Maintenance

2013 ◽  
Vol 404 ◽  
pp. 808-814
Author(s):  
Kang Qu Zhou ◽  
Yan Xi Yu ◽  
Hui Zhen Zhao ◽  
Dai Quan Yu
Keyword(s):  
Economic Benefits ◽  
Spare Parts ◽  
Inventory Model ◽  
Uncertain Demand ◽  
Equipment Maintenance ◽  
Device Management ◽  
Inventory Costs ◽  
Spare Parts Inventory ◽  
Normal Production

As an important module of enterprise device management, spare parts inventory affects other strategies like equipment maintenance, overhauling, repairing etc. Furthermore, the normal production of enterprises and economic benefits are closely related with it. In this paper, spare parts are classified based equipment maintenance features [. After analyzing the dynamic and uncertain demand context, a probability inventory model which takes equipment downtime loss into account is presented [. A reasonable inventory costs is suggested through a lot of computing. The model and methodology have been demonstrated by a case study.

scholarly journals Conversations About Death and Dying, End-of-Life Care Plans and Preferences Between Aging Parents and Adult Children

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 417-417
Author(s):  
Hyo Jung Lee ◽  
Jacobbina Jin Wen Ng
Keyword(s):  
Decision Making ◽  
End Of Life ◽  
Adult Children ◽  
End Of Life Care ◽  
Death And Dying ◽  
Family Members ◽  
Life Care ◽  
Joint Decision ◽  
Aging Parents ◽  
Care Plans

Abstract This study aims to investigate whether attitude and perception on late-life death and dying, end-of-life care plans and preferences could be better understood from current values shared between aging parents and their adult children in the multi-cultural city-bound country, Singapore. We are in the process of interviewing 20 aging parent-adult child dyads. Up to date, six semi-structured interviews were completed and transcribed. We performed Content analysis to analyze the transcripts. Preliminary findings showed that both aging parents and adult children rarely discussed this issue, although parents had their own plans or preferences. The major barriers against open conversations about death and dying of aging parents include: the perception of not-yet time to talk about this issue (without knowing when the right time is) and tendency to have conversations about death in tandem with finances, but not death itself. Although specific end-of-life care plans or arrangements were not thought out thoroughly, aging parents expressed a high level of trust and reliance on close family members’ decisions regarding their end-of-life care. They tended to agree on joint decision-making process within family, even though adult children had no or unmatched ideas about their aging parents’ end-of-life wishes. This did not necessarily align with previous findings in Western countries, underscoring individuals’ control over their own death and dying process. Open conversation within family, family-involved advance care planning, or joint decision-making processes may be warranted to promote quality of life and death in older Singaporeans and well-being of their family members of all ages.

scholarly journals Concordance, communication, and shared decision-making about family planning among couples in Nepal: A qualitative and quantitative investigation

2019 ◽  
Vol 37 (2) ◽  
pp. 357-376
Author(s):  
Carol R. Underwood ◽  
Lauren I. Dayton ◽  
Zoé Mistrale Hendrickson
Keyword(s):  
Decision Making ◽  
Family Planning ◽  
Shared Decision Making ◽  
Quantitative Study ◽  
Shared Decision ◽  
Partner Communication ◽  
Joint Decision ◽  
Couple Communication ◽  
Spousal Concordance ◽  
Planning Decision

Couple communication and joint decision-making are widely recommended in the family planning and reproductive health literature as vital aspects of fertility management. Yet, most studies continue to rely on women’s reports to measure couple concordance. Moreover, the association between communication and decision-making is often assumed and very rarely studied. Arguably, associations between dyadic communication and shared decision-making constitute a missing link in our understanding of how communication affects fertility-related practices. Informed by Carey’s notions of transmission and ritual communication, this study sought to address those gaps with two complementary studies in Nepal: a qualitative study of married men and women and a quantitative study of 737 couples. To assess spousal concordance on matters of family planning-related communication and decision-making in the quantitative study, responses from the couple were compared for each question of interest and matched responses were classified as concordant. Quantitative results found that more than one-third of couples reported spousal communication on all measured family planning-related topics. Nearly, 87% of couples reported joint decision-making on both family planning use and method type. Partner communication was significantly and positively associated with concordant family planning decision-making in both bivariate and multivariate models. Couples communicating about three family planning topics had more than twice the odds of concordant family planning decision-making than did those not reporting such communication. The qualitative findings provided insights into discordant as well as concordant interactions, revealing that decision-making, even when concordant, is not necessarily linear and is often complex.

scholarly journals What Explains Gender Gaps in Household Food Security? Evidence from Maize Farm Households in Southern Ethiopia

2021 ◽  
Author(s):  
Girma Gezimu Gebre ◽  
Hiroshi Isoda ◽  
Yuichiro Amekawa ◽  
Dil Bahadur Rahut ◽  
Hisako Nomura ◽  
...  
Keyword(s):  
Decision Making ◽  
Food Security ◽  
Farm Households ◽  
Primary Data ◽  
Household Food Security ◽  
Southern Ethiopia ◽  
Lower Probability ◽  
Gender Gaps ◽  
Joint Decision ◽  
Household Food

AbstractUsing primary data collected from 560 farm households in Dawuro zone, southern Ethiopia, this study analyzes the gender gaps in food security among male, female, and joint decision-making farm households. It examines the factors inducing gender gaps among the households of those three categories. The results show that female decision-making households have a lower probability of ensuring food-security and a higher probability of being transitionally and chronically food-insecure. Joint decision-making households showed a higher probability of falling into the chronically food-insecure category. The decomposition results show significant gender gaps between male and female decision-making households in terms of food-secure, transitory food-insecure, and chronically food-insecure categories. Overall, both the endowment and return effects account for the gaps; however, the magnitude of the effect from the return is higher than from the endowment on significant gaps in the food-secure, transitory, and chronically food-insecure categories. Hence, there is a need for policies that not only ensure equal levels of productive resources but also help households build their capacity in order to improve both transitory and chronically food insecure situations.

scholarly journals Multiobjective Joint Optimization of Production Scheduling and Maintenance Planning in the Flexible Job-Shop Problem

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jianfei Ye ◽  
Huimin Ma
Keyword(s):  
Decision Making ◽  
Optimization Model ◽  
Preventive Maintenance ◽  
Production Scheduling ◽  
Job Shop ◽  
Joint Optimization ◽  
Planning Problem ◽  
Flexible Job Shop ◽  
Maintenance Planning ◽  
Joint Decision

In order to solve the joint optimization of production scheduling and maintenance planning problem in the flexible job-shop, a multiobjective joint optimization model considering the maximum completion time and maintenance costs per unit time is established based on the concept of flexible job-shop and preventive maintenance. A weighted sum method is adopted to eliminate the index dimension. In addition, a double-coded genetic algorithm is designed according to the problem characteristics. The best result under the circumstances of joint decision-making is obtained through multiple simulation experiments, which proves the validity of the algorithm. We can prove the superiority of joint optimization model by comparing the result of joint decision-making project with the result of independent decision-making project under fixed preventive maintenance period. This study will enrich and expand the theoretical framework and analytical methods of this problem; it provides a scientific decision analysis method for enterprise to make production plan and maintenance plan.

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