Extra dimensions to portfolio analysis Dirk-Jan F. Kamann NEVI-Chair Purchasing Management, University of Groningen, Faculty of Management & Organisation, Scientific Director Groningen Research Institute of Purchasing (GRIP), E-Mail: [email protected], www.GripOnPurchasing.com Address: Prof. Dr. Dirk-Jan F. Kamann, GRIP, Faculty of Management of Management & Organisation, P.O. Box 800, NL-9700 AV Groningen, The Netherlands Tel: +31.50.363 3373 Fax: +31.50.318 6900 GSM: +31.6.212.55.334 1 Extra dimensions to portfolio analysis Extended abstract This contribution starts with a discussion of various types of portfolios existing in literature. It then combines the buyer’s view, the seller’ view and the complexity of the product. This results in a cube. As an example, one test case is provided to show the relevance and application of the cube. The paper goes on with adding the potential of E-Business (both E-Commerce and E-Porcurement) and the effects on the networks, the type of roles actors will play in the new situation a d the type of actors that will play these roles. This paper has been presented as a poster session at the IPSERA meeting in 1999 in London (Ontario). The concepts developed have since been tested on several companies. The paper follows the following line of arguments. 1. The classical portfolio matrix: the Kraljic matrix financial relevance The portfolio matrix (Kraljic, 1983) is a useful tool to classify purchased goods and the suppliers involved. Taking the complexity of the supplier market and the financial relevance or impact into account, goods and suppliers can be classified as leverage, routine, strategic and bottleneck items. The strength of the instrument is that it enables the purchaser to differentiate between the various supplier relations and strategies that high are appropriate for each category. These are • leverage items: hard bargaining, induce services • routine items: reduce handling/overhead costs; try to cluster into leverage strategic leverage contracts • strategic items: go for partnerships • bottleneck items: ensure supply Although being useful, the portfolio method does not take the supplier's perspective into account. This dimension is covered by the matrix described by Hugh et. al (1998). routine bottleneck low complexity of supply market many suppliers 1 supplier 2. The buyers market from the supplier's perspective amount of buyers from the supplier's perspective Using the complexity of the supply market (in practice: are there many or few suppliers) and the complexity of the buyer market (many or few buyers for that item) we find: • generic items (standardized commodities) • tailorized items, produced through flexible technology (mass customization) • propriatary products (brand names like Microsoft etc., up to very recently products from Semi-State companies like energy, telecom and mail fell into this category) • custom design: the real one-to-one relations many generic tailorized proprietary custom design few Generic and proprietary items come with standard specs. For tailorized items, some customization can take place, within certain restrictions. Custom design includes the design and development stage of items. amount of suppliers many few many buyers Combining the two matrices results in a cube reflecting both the complexity of the supplier market (from the purchasing perspective) and the buyer market (from the vendor's perspective). Combining the matrices makes us aware that part of the strategic and bottleneck items belongs to the proprietary column: 1 monopolistic supplier (or very few oligopolistic 1 buyer high financial relevance 3. The result: the Cube generic complexity of the buyer market tailorized proprietary custom design leverage strategic routine bottleneck low complexity of supplier market many suppliers 2 1 supplier suppliers) and many buyers. The change of getting adapted product specifications are very small. For many items in this column, most (smaller) buyers do not deal directly with the producer, but with agents. 4. Dealing with complexity of the product : the Fisher Matrix high financial relevance We find that many companies differentiate between various types of leverage items in their supplier strategy. based on the complexity of the leverage strategic product. A food multinational for instance differentiates between standard "simple" products like potatoes and more complex products like complete meals. For the more complex products, value analysis is applied to standardize items across markets and producers. To do this successfully, all routine bottleneck stakeholders involved – or at least their interests - have to be included in the 'standardization' team that performs the analysis: producers, transporters, low packagers, printers, retailers, marketing department, new product complexity of product development, finance. In practice, a group size of 8 still is workable. Since low high this value analysis/value engineering is performed with all relevant actors in the chain or network, we use the name Joint Value Analysis. In literature, Fisher already in 1970 describes the role of complexity of the product. His matrix and criteria used in the contribution actually looks very similar to the Kraljic contribution of 1983. JVA has two stages: 1. the initial stage where the actual JVA takes place, resulting in a proposal for Joint Value Engineering of all activities and goods in the chain; 2. the ordering process once the new product and services of all involved has been established. This second phase bears close resemblance with 'normal' leverage items 5. The Cube with Joint Value Analysis (JVA) 6. The role of E-Contacts: 'Blue products' generic JVA leverage strategic tailorized proprietary custom design bottleneck 1 buyer high financial impact on resources From observations of companies, we deducted that Joint Value Analysis (JVA) is not performed with generic products, nor with proprietary products. Suppliers of these products may be willing to adopt JVA on the logistics involved, but not on the product per se. As said before, very simple products are usually not subject to JVA, while extremely complex products usually fall into the custom design category. Therefore, JVA should be place in the transcending border area between leverage items and strategic items. Of course, the line shown is an analytical one and differs between companies. The resulting cube should be seen as an analytical tool to assist supplier strategies. many buyers complexity of buyer market routine low complexity of the supplier market many suppliers 1 supplier complexity of the product low high Why did we colour three columns in our cube blue? The reason is that these blue goods can be very well integrated in ordering and procurement systems using E-Contacts (EDI, E-procurement, Ebusiness etc.). Custom design uses E-mail but requires many face-to-face contacts. Therefore, the contents of the relations differ. What about the red column of JVA? This differs between the two JVA stages: (1) in the first stage many face-to-face contacts are required, similar to custom developers (2) the ordering process of the second phase is open for EDI and other electronic systems. 7. New roles, new actors Extrapolating our findings above, we sense new roles for new types of actors. These new actors are: • brokers, potentially virtual organisations that just redistribute orders, organise and collect leverage buying power combined with spot buying on Internet; they organise the logistics from producers or warehouses to the buyers, including 'ship on line', 'vendor managed inventory' etc. After approval of the catalogue, ordering is decentralised to authorized users in the buyer's organization • capacity suppliers: they actually produce goods and services. Buyers – either the brokers or direct buyers - reserve slot time in the production line. In for instance week 42, day xx, yy hours is reserved for production for client zz. • co-developers: these are actors for design and development where much face-to-face contact and long-term (personal) relationships are important. Once a product has been developed, actual production can be done by capacity suppliers, either at component level or modular level while even final assembly can be outsourced to a capacity supplier. 3 Logistics is the glue that bonds the business processes of the three categories of actors. Within the category 'logistics', again we see brokers, capacity suppliers ('wheels') and co-developers designing total logistical solutions. virtual organisation digital E-contacts brokers logistics capacity suppliers in-house production co-developers face-to-face contacts 4 8. The new network The network of the new actors is a configuration around a focal firm with: • • • brokers, connected to capacity suppliers (of generic and proprietary goods) and some tailorizing suppliers. They also organise the logistics involved. Brokers actually can be suppliers and buyers. capacity suppliers of goods, services (including logistics) co-developers Behind each actor in the network we can imagine another 'balloon set'. That means that instead of the 'simple' supply chain we now have an enormous balloon festival to cover all actors in some way relevant for our performance. Some of the relationships in the festival are relatively stable, some are rather loose. It doesn't make life easier for the average purchasing manager... capacity suppliers: brokers co-developers tailorized products generic- and proprietary products References: Fisher, L. (1970), Industrial marketing: an analytical approach to planning and execution, Princeton: Brandon/Systems Press Fisher, B.A. (1973), Small group decision making: communication and the group process, New York: McGraw-Hill Hughes, J., M. Ralph and B. Michels (1998), Transform your supply chain: releasing value in business, London: International Thomson Press, pp. 53. Kamann (1999), Purchasing from a network perspective, Groningen: Charlotte Heymanns Publishers (in Dutch); Kamann (2000) "An extra dimension to Kraljic”, Tijdschrift voor Inkoop en Logistiek, April, vol. 4. pp. 8-12,(in Dutch) Kraljic, P. (1983), “Purchasing must become supply management”, Harvard Business Review, September-October, pp. 109-117. 5
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