Development of Inventory Management Theory.

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Introduction

Development of Inventory Management Theory

        

During the 20th century there have been a number of milestones in the development of the theory of inventory management. In the early part of the century the economic order quantity (EOQ) was the main driver of inventory practices. A balance had to be struck between the costs of frequent re-ordering and expense of holding stock. Efficiency could be achieved by adhering to the EOQ principle. It provided the rational for centralised stock holding. In practice, it was incorporated into the re-order level or two-bin system of stock control. Where replenishment orders of the EOQ were placed whenever stock levels fell to a pre set re-order level. This level was set such that just enough stock was held to cover the lead time for delivery. One of the main problems with this system was that variable demand could lead to an erratic pattern of re-ordering, a nightmare for administration and for suppliers. The periodic review system came into being. This provided a regular reordering routine. The price paid was that re-order quantities were sub optimal. However, the total stock cost curve tends to be relatively flat around the EOQ and consequently relatively insensitive to moderate variations in order quantity. In practice the two systems were often combined to produce a hybrid of regular reviews with order quantities of around the EOQ. One of the benefits of these systems was that they were simple to operate and did not require sophisticated information systems.

In the 1960’s and 70’s Materials Requirement Planning (MRP) emerged, its adoption was accelerated by the corresponding development of computing power. In theory this is a very simple system which states that stocks should be ordered in the same proportions to their usage. So for example, a car manufacturer should hold five times as many wheels as he holds gear sticks. The system does not specify exactly how much to hold, but planning is usually performed on a routine basis, for example, stock will be ordered to meet the planned production for the next month. Forecasting is important with this system as in situations other than make-to-order, planning is based on the forecast of demand. Although essentially simple in theory, MRP becomes complex in practice when hundreds of items of stock are held and the same stock item is used in a variety of products. A computerised information system is essential. Through the 1970’s and early 80’s MRP quickly became the vogue in inventory management circles. It was only recently toppled from this position by the increasing use of Just-in–time (JIT) methods.

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JIT- What is it?

‘Just-in-time (JIT) refers to an integrated, problem-solving approach aimed at improving quality and facilitating timeliness in supply, production, and distribution (Davy et al., 1992). The fundamental objective of JIT is to eliminate all waste from the entire supply chain (Frazier et al., 1988). The JIT system is driven by final product demand: where each item is procured, manufactured, and delivered in the quantities needed just-in-time to satisfy demand in the next stage of the supply chain system or in the marketplace (Sadhwani et al., 1985). It is widely accepted that the implementation of JIT can improve firm performance. For example, Schonberger (1986) provides anecdotal evidence that companies have substantially cut lead times, drastically reduced raw material, work-in-process, and finished goods inventories, and effectively increased asset turnover. Examples of JIT-related achievements include the following: lead time was cut from 13 weeks to nine hours at a General Electric aviation turbine blade plant in Cincinnati, Ohio; at an Omark saw chain plant in Portland, Oregon, work-in-process inventory was cut from 30 days to three days; asset turnover increased threefold at a Hewlett-Packard computer assembly plant in Fort Collins, Colorado (Schonberger, 1986).

Hypotheses

When discussing JIT, it is important to differentiate between practices and performances. Practices are approaches used by managers and workers with the goal of achieving certain types of performance outcomes (Flynn et al., 1995). For example, JIT production practices may include machine setup time reduction, schedule flexibility, and the use of kanban. They are the means by which JIT production performance results. The end result, JIT performance, can be measured by inventory outcomes (e.g. in-process inventory levels), organizational efficiency (e.g. hierarchical layers and spans of control), financial efficiency (e.g. return on sales), and other measures.

Although JIT focuses on improvements in virtually all facets of supply chain operations, reduction of inventory has been one of the most highly publicized theoretical advantages of JIT (Chapman and Carter, 1990). Central to the philosophy in lean production systems such as JIT is the view that all inventories are waste, and are therefore undesirable and should be eliminated or minimized (Sadhwani et al., 1985). One goal of JIT is to reduce or eliminate the need for raw material, work-in-process, and finished goods inventories. By ensuring that all needed materials, parts, and products are produced just in time and in the correct quality and quantity, inventory is minimized. Parts and products are produced only if needed, not to be stored in a stockroom or warehouse for possible future use (Finch, 1986; O'Neal, 1987). While inventory reduction is a hallmark of JIT, Zipkin (1991) points out that rather than prompting factory reform, inventory reduction is the result of JIT. In other words, reduction of inventory is a result of JIT practices and a measurement of overall improvement and performance of the system.

Selto et al. (1995) point out that there has been a lack of attention to the empirical relationship between strategies such as JIT and organizational structure. While it is generally accepted that effective implementation of JIT results in organizational changes (e.g. Dean and Snell, 1991), there  is a paucity of empirical research relating JIT strategy to specific dimensions of organizational structure (for an exception, see Germain et al., 1994). Two specific dimensions of organizational structure that we examine are span of control and hierarchical layers. Span of control refers to the number of subordinates directly reporting to a single supervisor or manager (Agarwal, 1979). Hierarchical layers refer to the number of levels in the organizational structure. The focus is on how flat or tall the hierarchy is, or the vertical span of the organization (Miller and Droge, 1986). Typically, a tall structure (i.e. one with many hierarchical layers) has a long chain of authority with narrow spans of control, while a flat structure has few hierarchical layers with relatively wide spans of control (Mintzberg, 1979).

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Groenevelt (1993) argues that JIT systems require fewer managers and result in a reduction of the number of layers of management. In other words, lean production systems such as JIT remove the secondary and support functions in a manufacturing firm by giving more responsibility to workers on the shop floor. The need for fewer managers results in fewer layers of management with the remaining managers having wider spans of control. Lean production systems generally have been found to have wider, flatter structures than traditional firms (Huson and Nanda, 1995). This suggests that JIT also should be associated with flatter, ...

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