Optimal Warranty Period when Sale-Price Increases with the Lower Specification Limit

Author(s):  
Shaul P. Ladany ◽  
Haim Shore
2021 ◽  
Vol 47 ◽  
pp. e627
Author(s):  
Kristhian Franchesco Paul PINAZO Beltran ◽  
Jesús Miguel Angel BERRÚ Beltran ◽  
Edwin Fredy BOCARDO Delgado

The prawn (Cryphiops caementarius) is the only resource in the Peruvian coastal rivers that supports a commercial fishery. Bioeconomic-fishing aspects are reported based on data (fishing, costs and income derived from fishing) acquired in situ monthly in four altitudinal strata (every 200 meters above sea level - masl) of the Majes-Camaná river during 2019. The catch per unit of effort (CPUE) was expressed in kg h-1, monthly income was estimated based on the average catch values, number of tasks and price of the resource. To evaluate the profitability of the activity of an average fisherman (by stratum), a cash flow based on income and expenses was executed under situations with a constant future, using economic profitability indicators such as the Net Present Value (NPV), Internal Rate of Return (IRR), Benefit-Cost ratio (B/C) and Discounted Payback Period (DPB). There was a predominance of the diving method, the catches (kg) and the fishing yield increased throughout the fishing period (April-December) with a maximum value of 4.8 kg h-1 (December - high strata). Investment costs per fisherman were low, roughly 1,000 soles. The sale price increases with altitude, decreasing over the course of the year depending on the availability of the resource; the monthly income per fisherman varied from 964 soles (April - low stratum) to 6,760 soles (December - high stratum). The economic simulation model showed that the income exceeded the costs of the fishing activity from the first year of activity in all the altitudinal strata, the economic profitability indicators showed high profitability for the activity.


2021 ◽  
Vol 25 (8) ◽  
pp. 1477-1482
Author(s):  
O.F. Odeyinka ◽  
F.O. Ogunwolu ◽  
O.P. Popoola ◽  
T.O. Oyedokun

Process capability analysis combines statistical tools and control charts with good engineering judgment to interpret and analyze the data representing a process. This work analyzes the process capability of a polypropylene bag producing company. The case study organization uses two plants for production and data was collected over a period of nine months for this study. Analysis showed that the output spread of plant 1 was greater than the specification interval spread which implies poor capability. There are non-conforming parts below the Lower Specification Limit (LSL: 500,000 metres) and above the Upper Specification Limit (USL: 600,000 metres) and that the output requires improvement. Similarly, the capability analysis of plant 2 shows that the overall output spread is greater than the specification interval spread (poor capability). The output centre in the specification and overall interval are vertically aligned, thus specifying that the output from plant 2 is also process centered and requires improvement. Recommendations were made to improve the outputs from each production plant.


2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Sudhansu S. Maiti ◽  
Mahendra Saha

Process capability indices (PCIs) aim to quantify the capability of a process of quality characteristic (X) to meet some specifications that are related to a measurable characteristic of its produced items. One such quality characteristic is life time of items. The specifications are determined through the lower specification limit (L), the upper specification limit (U), and the target value (T). Maiti et al. (2010) have proposed a generalized process capability index that is the ratio of proportion of specification conformance to proportion of desired conformance. Bayesian estimation of the index has been considered under squared error loss function. Normal, exponential (nonnormal), and Poisson (discrete) processes have been taken into account. Bayes estimates of the index have been compared with the frequentist counterparts. Data sets have been analyzed.


Author(s):  
N. SHAMSI GAMCHI ◽  
M. ESMAEILI ◽  
M. A. SANIEE MONFARED

Warranty as a kind of service contract plays a key role in business and legal transactions today. In this paper, we present for the first time a tri-partite service contract model including a manufacturer, an agent and a customer under risk parameter. We determine an optimal sale price, a warranty period and a warranty price for the manufacturer under quantity discount policies. The optimal maintenance cost or repair cost is obtained by the maximizing of an agent's profit according to the penalty cost incurred due to waiting time. Moreover, the customer maximizes his/her satisfaction by purchasing several products and choosing a portfolio of service contracts. Whereas the risk-aversion parameter on the customer side has an impact on their decision for choosing the type of service contract. On the other hand, the discount rate regime on the manufacturer side influences the number of purchased products. We present some numerical examples to illustrate the working logic of our model.


2008 ◽  
Vol 580-582 ◽  
pp. 201-204 ◽  
Author(s):  
J. Lee ◽  
Michael Mayer ◽  
Y. Zhou ◽  
S.J. Hong ◽  
S.M. Lee

Tail breaking forces (TBFs) are measured for various process conditions to understand phenomena such as short tail formation. TBFs obtained with several Cu wires are compared to find the most suitable Cu wire type that improves consistent tail formation. In situ online TBF measurement method is developed. The highest TBF obtained is 61.59 + 9.10mN. The highest Cpk value obtained is 2.97 + 0.33 when lower specification limit of 10 mN is assumed.


Open Physics ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 607-616
Author(s):  
Majdah Mohammed Badr ◽  
Ahmed Ibrahim Shawky ◽  
Gamal Amen Abd-Elmougod

Abstract The performance and potential of a process of industrial products is assessed under lower specification limit L by lifetime performance index (CL). In this paper, under consideration the independent lifetimes Chen products with known one shape parameters the CL of the performance of a process is evaluated. For the hybrid censoring scheme the maximum likelihood (ML) estimate of CL is constructed as well as confidence interval for CL is developing. Also, Bayesian approach is adopted to estimates CL and credibly interval is constructed. Some theoretical results of hypothesis tests of CL is adopted. Finally, our obtaining results will be assessed and compared through Monte Carlo simulation study and numerical example.


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