Order fulfillment

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Delivery lead time is the blue bar, manufacturing time is the whole bar, the green bar is the difference between the two. Class wort.jpg
Delivery lead time is the blue bar, manufacturing time is the whole bar, the green bar is the difference between the two.

Order fulfilment (in American English: order fulfillment) is in the most general sense the complete process from point of sales enquiry to delivery of a product to the customer. Sometimes, it describes the more narrow act of distribution or the logistics function. In the broader sense, it refers to the way firms respond to customer orders.

Contents

Classification

The first research towards defining order fulfilment strategies was published by Hans Wortmann, [1] and was continued by Hal Mather [2] in his discussion of the P:D ratio, whereby P is defined as the production lead time, i.e. how long it takes to manufacture a product, and D is the demand lead time. D can be viewed as:

  1. The lead time quoted by the firm to the customer
  2. The lead time the customer wishes it was
  3. The competitive lead time

Based on comparing P and D, a firm has several basic strategic order fulfilment options: [3]

Processes

In the broader sense, the possible processes in a logistic-production system are: [4]

  1. Product enquiry – Initial enquiry about offerings, visit to the web-site, catalogue request
  2. Sales quote – Budgetary or availability quote
  3. Order configuration – Where ordered items need selection of options or order lines need to be compatible with each other
  4. Order booking – The formal order placement or closing of the deal (issuing by the customer of a Purchase Order)
  5. Order acknowledgment/confirmation – Confirmation that the order is booked and/or received
  6. Invoicing/billing – The presentment of the commercial invoice/bill to the customer
  7. Order sourcing/planning – Determining the source/location of item(s) to be shipped
  8. Order changes – Changes to orders, if needed
  9. Order processing – Process step where the distribution center or warehouse is responsible to fill order (receive and stock inventory, pick, pack and ship orders).
  10. Shipment – The shipment and transportation of the goods
  11. Track and trace – Determine the current and past locations of the goods during transit
  12. Delivery – The delivery of the goods to the consignee/customer
  13. Settlement – The payment of the charges for goods/services/delivery
  14. Returns – In case the goods are unacceptable/are not required

Strategic importance

The order fulfilment strategy also determines the de-coupling point in the supply chain, [5] which describes the point in the system where the "push" (or forecast-driven) and "pull" (or demand-driven see Demand chain management) elements of the supply chain meet. The decoupling point always is an inventory buffer that is needed to cater for the discrepancy between the sales forecast and the actual demand (i.e. the forecast error). Typically, the higher the P:D ratio, the more the firm relies on forecasts and inventories. Hal Mather suggests three ways to tackle this "planning dilemma": [2]

  1. Improve forecasting accuracy
  2. Provide for flexibility
  3. Build a process to recognize forecasting errors and quickly correct production planning

It has become increasingly necessary to move the de-coupling point in the supply chain to minimise the dependence on the forecast and to maximise the reactionary or demand-driven supply chain elements. This initiative in the distribution elements of the supply chain corresponds to the Just-in-time initiatives pioneered by Toyota. [2]

The order fulfilment strategy has also strong implications on how firms customize their products and deal with product variety. [6] Strategies that can be used to mitigate the impact of product variety include modularity, option bundling, late configuration, and build to order (BTO) strategies—all of which are generally referred as mass customisation strategies. The decoupling point can place a much stronger emphasis on the supply chain based on the process as well as the nature of supply chain configurations. [7]

See also

Related Research Articles

<span class="mw-page-title-main">Supply chain management</span> Management of the flow of goods and services

In commerce, supply chain management (SCM) deals with a system of procurement, operations management, logistics and marketing channels, through which raw materials can be developed into finished products and delivered to their end customers. A more narrow definition of supply chain management is the "design, planning, execution, control, and monitoring of supply chain activities with the objective of creating net value, building a competitive infrastructure, leveraging worldwide logistics, synchronising supply with demand and measuring performance globally". This can include the movement and storage of raw materials, work-in-process inventory, finished goods, and end to end order fulfilment from the point of origin to the point of consumption. Interconnected, interrelated or interlinked networks, channels and node businesses combine in the provision of products and services required by end customers in a supply chain.

<span class="mw-page-title-main">Logistics</span> Management of the flow of resources

Logistics is the part of supply chain management that deals with the efficient forward and reverse flow of goods, services, and related information from the point of origin to the point of consumption according to the needs of customers. Logistics management is a component that holds the supply chain together. The resources managed in logistics may include tangible goods such as materials, equipment, and supplies, as well as food and other consumable items.

<span class="mw-page-title-main">Inventory</span> Goods held for resale

Inventory or stock refers to the goods and materials that a business holds for the ultimate goal of resale, production or utilisation.

<span class="mw-page-title-main">Supply chain</span> System involved in supplying a product or service to a consumer

A supply chain, sometimes expressed as a "supply-chain", is a complex logistics system that consists of facilities that convert raw materials into finished products and distribute them to end consumers or end customers. Meanwhile, supply chain management deals with the flow of goods within the supply chain in the most efficient manner.

Vendor-managed inventory (VMI) is an inventory management practice in which a supplier of goods, usually the manufacturer, is responsible for optimizing the inventory held by a distributor.

Service management in the manufacturing context, is integrated into supply chain management as the intersection between the actual sales and the customer point of view. The aim of high-performance service management is to optimize the service-intensive supply chains, which are usually more complex than the typical finished-goods supply chain. Most service-intensive supply chains require larger inventories and tighter integration with field service and third parties. They also must accommodate inconsistent and uncertain demand by establishing more advanced information and product flows. Moreover, all processes must be coordinated across numerous service locations with large numbers of parts and multiple levels in the supply chain.

The beer distribution game is an educational game that is used to experience typical coordination problems of a supply chain process. It reflects a role-play simulation where several participants play with each other. The game represents a supply chain with a non-coordinated process where problems arise due to lack of information sharing. This game outlines the importance of information sharing, supply chain management and collaboration throughout a supply chain process. Due to lack of information, suppliers, manufacturers, sales people and customers often have an incomplete understanding of what the real demand of an order is. The most interesting part of the game is that each group has no control over another part of the supply chain. Therefore, each group has only significant control over their own part of the supply chain. Each group can highly influence the entire supply chain by ordering too much or too little which can lead to a bullwhip effect. Therefore, the order taking of a group also highly depends on decisions of the other groups.

<span class="mw-page-title-main">Operations management</span> In business operations, controlling the process of production of goods

Operations management is concerned with designing and controlling the production of goods and services, ensuring that businesses are efficient in using resources to meet customer requirements.

Demand management is a planning methodology used to forecast, plan for and manage the demand for products and services. This can be at macro-levels as in economics and at micro-levels within individual organizations. For example, at macro-levels, a government may influence interest rates to regulate financial demand. At the micro-level, a cellular service provider may provide free night and weekend use to reduce demand during peak hours.

Inventory control or stock control can be broadly defined as "the activity of checking a shop's stock". It is the process of ensuring that the right amount of supply is available within a business. However, a more focused definition takes into account the more science-based, methodical practice of not only verifying a business's inventory but also maximising the amount of profit from the least amount of inventory investment without affecting customer satisfaction. Other facets of inventory control include forecasting future demand, supply chain management, production control, financial flexibility, purchasing data, loss prevention and turnover, and customer satisfaction.

<span class="mw-page-title-main">Push–pull strategy</span> Business terms

The business terms push and pull originated in logistics and supply chain management, but are also widely used in marketing and in the hotel distribution business.

The term demand chain has been used in a business and management context as contrasting terminology alongside, or in place of, "supply chain". Madhani suggests that the demand chain "comprises all the demand processes necessary to understand, create, and stimulate customer demand". Cranfield School of Management academic Martin Christopher has suggested that "ideally the supply chain should become a demand chain", explaining that ideally all product logistics and processing should occur "in response to a known customer requirement".

<span class="mw-page-title-main">Bullwhip effect</span> Form of distribution marketing

The bullwhip effect is a supply chain phenomenon where orders to suppliers tend to have a larger variability than sales to buyers, which results in an amplified demand variability upstream. In part, this results in increasing swings in inventory in response to shifts in consumer demand as one moves further up the supply chain. The concept first appeared in Jay Forrester's Industrial Dynamics (1961) and thus it is also known as the Forrester effect. It has been described as "the observed propensity for material orders to be more variable than demand signals and for this variability to increase the further upstream a company is in a supply chain". Research at Stanford University helped incorporate the concept into supply chain vernacular using a story about Volvo. Suffering a glut in green cars, sales and marketing developed a program to sell the excess inventory. While successful in generating the desired market pull, manufacturing did not know about the promotional plans. Instead, they read the increase in sales as an indication of growing demand for green cars and ramped up production.

<span class="mw-page-title-main">Demand-chain management</span> Management of relationships between suppliers &customers to deliver best value to customer

Demand-chain management (DCM) is the management of relationships between suppliers and customers to deliver the best value to the customer at the least cost to the demand chain as a whole. Demand-chain management is similar to supply-chain management but with special regard to the customers.

<span class="mw-page-title-main">Build to order</span> Production approach

Build to Order is a production approach where products are not built until a confirmed order for products is received. Thus, the end consumer determines the time and number of produced products. The ordered product is customized, meeting the design requirements of an individual, organization or business. Such production orders can be generated manually, or through inventory/production management programs. BTO is the oldest style of order fulfillment and is the most appropriate approach used for highly customized or low volume products. Industries with expensive inventory use this production approach. Moreover, "Made to order" products are common in the food service industry, such as at restaurants.

Supply Chain Operations Reference (SCOR) model is a process reference model developed and endorsed by the Supply Chain Council as the cross-industry, standard diagnostic tool for supply chain management. The SCOR model describes the business activities associated with satisfying a customer's demand, which include plan, source, make, deliver, return and enable. Use of the model includes analyzing the current state of a company's processes and goals, quantifying operational performance, and comparing company performance to benchmark data. SCOR has developed a set of metrics for supply chain performance, and Supply Chain Council members have formed industry groups to collect best practices information that companies can use to elevate their supply chain models.

<span class="mw-page-title-main">Production leveling</span> Technique for reducing the mura (unevenness) which in turn reduces muda (waste)

Production leveling, also known as production smoothing or – by its Japanese original term – heijunka (平準化), is a technique for reducing the mura (unevenness) which in turn reduces muda (waste). It was vital to the development of production efficiency in the Toyota Production System and lean manufacturing. The goal is to produce intermediate goods at a constant rate so that further processing may also be carried out at a constant and predictable rate.

Material theory is the sub-specialty within operations research and operations management that is concerned with the design of production/inventory systems to minimize costs: it studies the decisions faced by firms and the military in connection with manufacturing, warehousing, supply chains, spare part allocation and so on and provides the mathematical foundation for logistics. The inventory control problem is the problem faced by a firm that must decide how much to order in each time period to meet demand for its products. The problem can be modeled using mathematical techniques of optimal control, dynamic programming and network optimization. The study of such models is part of inventory theory.

Merge-in-transit (MIT) is a distribution method in which several shipments from suppliers originating at different locations are consolidated into one final customer delivery. This removes the need for distribution warehouses in the supply chain, allowing customers to receive complete deliveries for their orders. Under a merge-in-transit system, merge points replace distribution warehouse. In today's global market, merge-in-transit is progressively being used in telecommunications and electronic industries. These industries are usually dynamic and flexible, in which products have been developed and changed rapidly.

Operations management for services has the functional responsibility for producing the services of an organization and providing them directly to its customers. It specifically deals with decisions required by operations managers for simultaneous production and consumption of an intangible product. These decisions concern the process, people, information and the system that produces and delivers the service. It differs from operations management in general, since the processes of service organizations differ from those of manufacturing organizations.

References

  1. J.C. Wortmann, Chapter: "A classification scheme for master production schedule", in Efficiency of Manufacturing Systems, C. Berg, D. French and B. Wilson (eds) New York, Plenum Press 1983
  2. 1 2 3 Hal Mather, Competitive manufacturing, Prentice Hall 1988
  3. Fogarty, Blackstone, Hoffman. Production & Inventory Management 2nd ed. South-Western Publishing Co. 1991 pp.2-3 ISBN   0-538-07461-2
  4. Keely L. Croxton. (2003) "The Order Fulfillment Process", International Journal of Logistics Management, The, Vol. 14 Iss: 1, pp.19 - 32
  5. Oden, H. W., Langenwalter, G. A., Lucier, R. A. (1993) Handbook of material and capacity requirements planning McGraw-Hill, Inc.
  6. Holweg, M. and Pil, F.K. (2001) "Successful build-to-order strategies start with the customer." MIT Sloan Management Review, 43. pg 74-83
  7. Guven-Uslu, P., Chan, H.K., Ijaz, S., Bak, O., Whitlow, B. and Kumar, V., 2014. In-depth study of ‘decoupling point’as a reference model: an application for health service supply chain. Production Planning & Control, 25(13-14), pp.1107-1117.