Tag Archives: stochastic

Prototype Design Of Decision Support System Based On Nonstationary Compound Poisson Process Simulation For Enterprise Resource Planning Of Culinary Business

PROTOTYPE DESIGN OF DECISION SUPPORT SYSTEM BASED ON NONSTATIONARY COMPOUND POISSON PROCESS SIMULATION FOR ENTERPRISE RESOURCE PLANNING OF CULINARY BUSINESS
Authors : ARIF RAHMAN, Murti Astuti & Rahmi Yuniarti

Abstract : Customer arrival of culinary business are uncertain. The pattern of arrival and the number of orders varies under stochastic dynamics with nonstationary and compound Poisson process. It requires efficient resource planning. Continue reading

M/M/c Queueing Theory Approach On Manpower Requirement Planning With Shojinka Technique At Stochastic Service System

M/M/C QUEUEING THEORY APPROACH ON MANPOWER REQUIREMENT PLANNING WITH SHOJINKA TECHNIQUE AT STOCHASTIC SERVICE SYSTEM
Author : ARIF RAHMAN

Abstract : Service system or the service industry meets problems on manpower requirement planning, because of stochastic pattern on customer arrival and service time. Using Shojinka technique, it arranges the number of manpower to vary workforce size according to the level of demand for services under a certain service level. Continue reading

Simulation Study Of Spare Part Inventory System Based On Compound Poisson Process Approach

SIMULATION STUDY OF SPARE PART INVENTORY SYSTEM BASED ON COMPOUND POISSON PROCESS APPROACH
Authors : ARIF RAHMAN, Bambang Indrayadi & Novi Tria Susanti

Abstract : Spare part inventory system become an important thing in maintenance management. Availability of spare parts will support maintenance activities, since spare part shortage will increase equipment downtime. The lag time between occurence of spare part request are uncertain and the amount of consumption varies each request. Continue reading

Personnel Scheduling On Nonstationary Poisson Process Systems

PERSONNEL SCHEDULING ON NONSTATIONARY POISSON PROCESS SYSTEMS
Author : ARIF RAHMAN

Abstract : This paper is about personnel scheduling in service systems that modeled by queueing theoretic approach. Customer arrival rate varies every time in accordance with nonstationary Poisson process pattern. Continue reading