In this paper, we study the influence of seasonal demands and forecasts on performance an Automatic Pipeline, Variable Inventory, Order-Based, Production Control System (APVIOBPCS) using linear control theory. particular, consider a system that uses forecast based no-trend, additive-seasonality exponential-smoothing model, compare its to equivalent simple exponential smoothing. We find with for...

Dynamics in a supply chain are attributed to the delays and amplifications in the flow of information across the supply chain system. Demand is an important form of information that passes from one firm to another. During these transfers, the demand information gets distorted leading to demand amplifications. This demand amplification effect (popularly known as the bullwhip effect) has been wid...

Motivated by a particular multinational cutting-tools manufacturer, we extend the traditional economic order quantity (EOQ) model for maintenance-repair-and-overhaul (MRO) customers under stochastic purchase price and use it to show how price variance leads to bullwhip effect for the MRO manufacturer despite constant consumption by the customer. Our extension of the EOQ model is based on two as...

To make informed forecasting and replenishment decisions, many companies bring together operational elements of production and distribution with sales and marketing, executing Sales and Operations Planning (S&OP) collaborative improvement processes. As cross-functional and consensus-based processes, S&OP activities create value by keeping supply and demand in balance. But most S&OP arrangements...

This paper presents the development of conceptual models that can be used in the creation of certain types of supply chain simulation projects. The supply chain considered is composed of four elements: suppliers, manufacturer, retailers, and the consumer market. The presented ideas can be used in supply chain simulation projects, which objective can be, for instance, to study the bullwhip effec...