Anarchy in the UJ: Coordination mechanisms for minimizing the number of late jobs

study of cohesive devices in the textbook of english for the students of apsychology by rastegarpour

this study investigates the cohesive devices used in the textbook of english for the students of psychology. the research questions and hypotheses in the present study are based on what frequency and distribution of grammatical and lexical cohesive devices are. then, to answer the questions all grammatical and lexical cohesive devices in reading comprehension passages from 6 units of 21units th...

the test for adverse selection in life insurance market: the case of mellat insurance company

انتخاب نامساعد یکی از مشکلات اساسی در صنعت بیمه است. که ابتدا در سال 1960، توسط روتشیلد واستیگلیتز مورد بحث ومطالعه قرار گرفت ازآن موقع تاکنون بسیاری از پژوهشگران مدل های مختلفی را برای تجزیه و تحلیل تقاضا برای صنعت بیمه عمر که تماما ناشی از عدم قطعیت در این صنعت میباشد انجام داده اند .وهدف از آن پیدا کردن شرایطی است که تحت آن شرایط انتخاب یا کنار گذاشتن یک بیمه گزار به نفع و یا زیان شرکت بیمه ...

Minimizing the Number of Tardy Jobs

Models for Minimizing the Weighted Number of Late Jobs with Deterministic Machine Availability Constraints

We study the problem of minimizing the weighted number of tardy jobs on a single machine with deterministic machine availability constraints. We show that the cases with resumable and non-resumable jobs (1, hk|ri, nr − a| ∑ wiUi and 1, hk|ri, r − a| ∑ wiUi) can both be modeled as a more general scheduling problem, consisting in selecting and scheduling jobs on parallel machines subject to time ...

Lagrangean Relaxation for Minimizing the Weighted Number of Late Jobs on Parallel Machines

This paper presents a Lagrangean relaxation approach for solving a parallel machine scheduling problem where the objective function is to minimize the weighted number of late jobs. The approach is an extension of an approach that has been successfully applied to the one-machine case. It is the first method that gives lower bounds to the problem when an exact solution cannot be found.