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Fashion Marketing: Contemporary Issues, Second edition - Pr School

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30 <strong>Fashion</strong> <strong>Marketing</strong><br />

economy (DTI, 1998; 2003; 2005). Related to productivity was the growth of<br />

interest in quality, productivity and competitive position (Deming, 1986).<br />

Supply chains as operations management<br />

Continuing the theme of productivity has been the focus of much of the supply<br />

chain literature found in operations management. Much has been written<br />

on the efficiency of operations and the associated lowering of inventories that<br />

can be better managed if operational improvements are made.<br />

Focus on inventories: peaks and troughs<br />

In the 1960s a precursor to the supply chain literature that would later concern<br />

itself with the effect of demand was the work of Jay Forrester examining the<br />

impact of demand amplification at stages in the supply chain and the impact<br />

this could have upon inventories (Forrester, 1961). Industrial management<br />

and purchasing and production management had a clear focus on inventory<br />

management. For most manufacturing organizations inventories represented<br />

a significant proportion of their Balance Sheet value (50–60 per cent or more).<br />

Thus organizations that could reduce their inventory-holding cost could<br />

improve their competitiveness (Jones and Riley, 1985). It has been demonstrated<br />

(Wikner et al., 1991) that improvements to the supply chain dynamics<br />

can be achieved by:<br />

‘fine tuning’ the existing ordering policy parameters;<br />

reducing system delays;<br />

removal of the distribution echelon;<br />

changing the individual echelon decision rules;<br />

better use of information flow throughout the supply chain.<br />

Complexity may be a function of product variation, non-standard production,<br />

increased system delays, number of linkages in the supply chain, complicated<br />

decision rules or simply changing decision rules, that is different sets of decision<br />

rules, and poor use of information for whatever reasons (e.g. timeliness,<br />

poor integration and communication). Furthermore, interactions between any<br />

of the actors in the supply chain may higher or lower complexity.<br />

Volume volatility adds to the complexity within supply chain systems. In<br />

commodity markets where standard goods are exchanged this is less of a<br />

problem because demand is easier to predict. Where volume volatility is most<br />

prominent in markets where fashion is a key element of demand. Customers<br />

in these markets demand non-standard goods often in smaller volumes than<br />

would be the case for standardized products. For example, it is easier to predict<br />

demand for tins of baked beans than for a particular style of dress with<br />

associated colour and size variations adding to the volatility of volumes. Thus<br />

in mass markets with limited variety of offer to the customer the dynamics of<br />

supply chain systems may be easier to predict (Hines, 2004).

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