The objective of this research is to develop a multi-echelon supply chain model with fuzzy ramp-type demand rate and imprecise partial backlogging rate of unsatisfied demand, considering the effect of inflation and time value of money. Supplier's lead time is a stochastic function of his managing cost. The extra costs incurred on retailer, due to the uncertain lead time in terms of shortages costs or lost sales costs are owed by the supplier. The items have a certain expiration date, due to the fact there is decline in the demand rate with time, but after a period of time it becomes steady. A numerical example is cited to illustrate the results and its significant features. Finally, to study the effect of changes of demand parameters, deterioration, inflation and partially backlogging rate on supplier's and the retailer's profit, a sensitivity analysis is presented numerically.
- Inderscience Publishers
- Supply chain model with stochastic lead time under imprecise ...
Safety Leadership Spotlight | Using Leading Indicators to Drive Organizational Safety Performance
On January 18th, I sat down with EHSQ Community member, and Principal, Larry Coco, of ESH & Quality Consulting, to hear his thoughts on how leading indicators are transforming workplace safety in business. Over the last 30 years, Larry has managed ESHQ teams in the commercial nuclear industry with Westinghouse and on operations contractor teams at Department of Energy weapons production facilities and on nuclear/chemical waste clean-up sites. Site sizes varied from a few acres and plants with hundreds of...
Learnings from Safety Professionals: Issues involved in the gathering of leading indicators
In December,2016, our EHSQ Community had several Leading Indicator Mastermind sessions with Dr Vince Marchesani and Tamara Parris to discuss the use of leading indicators in our community members industrial workplaces. During our sessions we learned of the 56 participants, currently 34 membersare collecting leading indicators as part of their safety data gathering efforts. Interestingly most people, 26 members, are using manual methods to collect their data. When asked, who do you share the data with the majority,...
Automating oil particle analysis
Run up to 25 samples at one time The major issue for premature failure in wind turbine gearboxes is bearing failure, which leads to gearbox failure. A wind turbine gearbox will not survive if the oil is not clean and especially if the hard ferrous particles are not removed from around the bearingsThe LaserNet 230 particle counter and ferrous debris monitor has been shown to be an excellent analytical tool forend users to be able to diagnose wear faults in various machine applications such as gear boxes, engines...
Total solution: Gas and particulate analysis in Cement industry
Cement plants are increasingly required to install continuous emission monitoring systems (CEMS). While these represent a significant financial outlay, a range of other factors also need to be considered when selecting a suitable CEMS. To the inexperienced, selecting a suitable CEM can mistakenly be considered as simply ensuring that the applicable national regulations (eg MACT in the USA, Industrial Emissions Directive in Europe) are adhered to, with the necessary international quality assurances for the...
Thermal Analysis of Medical Materials
Thermal analysis offers an accurate and cost-effective way to test materials that will be used for medical purposes. In a new live presentation, METTLER TOLEDO experts will review the benefits of various thermal analysis methods commonly used to test the properties, characteristics, and safety of potentially lifesaving new materials. METTLER TOLEDO is pleased to present “Thermal Analysis of Medical Materials” on October 27th, 2016. The English-language webinar is part of the leading lab technology...