How electric car manufacturing transforms automotive supply chains
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How electric car manufacturing transforms automotive supply chains Florian Klug Department of Business Administration, Munich University of Applied Sciences, Germany, florian.klug@hm.edu Abstract Supply chain management can be seen as capability matching the value chain resources and capabilities to the requirements of the marketplace. The increasingly important role of electric cars needs to develop new supply chain concepts in automotive industry. This not only involves inbound and outbound processes with external suppliers and dealers but also inhouse operations. The purpose of this paper is twofold. Firstly, to verify existing research about the impact of e-car manufacturing on automotive supply chains. Secondly, to investigate concrete supply chain inhouse implications based on different e-car operations models. Keywords: electric car manufacturing, supply chain management, electro-mobility Introduction Today, the auto industry stands at a cross-roads: the increasingly stringent government regulations, a continued reliance on expensive and insecure fossil fuels, and growing concern over global warming, are creating much uncertainty (Gao et al., 2008). Battery- powered vehicles are an upcoming contender to the traditional combustion engine dominated automotive industry. Therefore, the world’s automakers are stepping up investment in the development of alternative powertrain technologies. In spite of its current uncertainties and its disadvantages, the completely new technology used by electric vehicles, will dramatically change existing supply chains. The future shift in the automotive value chain of e-cars, especially the question of battery, electric motor and transmission production, will transform the nature and level of logistics coordination across dispersed plants. E-car production has an effect not only on the flow of materials from the suppliers to the vehicle plant and the finished car distribution to the markets, but also inhouse material flows have to be taken into account. Therefore, car industry has to rethink existing inbound, inhouse and outbound operations. The approach advocated in this paper should help contribute to the great demands on the interplay of manufacturing and logistics operations that are so important for the total effectiveness of automotive supply chains. Overall literature review shows that there is a lack of describing supply chain implications of e-car manufacturing. This lack makes a strong case for further investigation. Therefore this paper will help in evaluating how car manufacturing transforms actual and future supply chain forms in automotive industry. 1
Methodology We adopt an exploratory research design, comprising of a multi-method approach, to understand supply chain implications of e-car manufacturing. This includes collecting data and analysing the data via explanatory case studies. Such an exploratory research design is particularly suited for understanding phenomena in their specific context, and to understand “how” and “why” various supply chain forms differ from each other (Yin, 2009). The data and insight for this multiple case approach comes from a literature review of research and practitioner papers. In addition, studies to survey concrete e-car manufacturing models have been used. In total we studied 15 e-car manufacturing cases (see Table 1). The selection of case study targets was motivated by the need to cover the whole scope of manufacturing types (see Figure 1). Furthermore, the chosen cases were determined by availability of information and the logistical focus of our research. This case-based research best enables us to investigate the supply chain aspects within a real- world industrial situation (Yin, 2009). Table 1 - Investigated electric cars (still introduced or projected in near future) E-Car Model Vehicle Assembly Plant Design Principle Manufacturer (Country) i3 BMW Leipzig (Germany) Purpose Design Mini E BMW Oxford (UK) Conversion Design e6 BYD Xi’an (China) Purpose Design Smart fortwo electric drive Daimler Hambach (France) Conversion Design A-Klasse E-Cell Daimler Rastatt (Germany) Conversion Design Focus Electric Ford Wayne (US) Conversion Design Opel Ampera Chevrolet Volt General Motors Hamtramck (US) Purpose Design i-MiEV Mitsubishi C-Zero Citroën Mizushima (Japan) Purpose Design iOn Peugeot Leaf Nissan Yokosuka (Japan) Purpose Design Twizy Renault Valladolid (Spain) Purpose Design Fluence Z.E. Renault Bursa (Turkey) Conversion Design Zoé Renault Flins-sur-Seine (France) Purpose Design Tesla Roadster Tesla Hethel (UK) Purpose Design eQ Toyota Takaoka (Japan) Conversion Design RAV4 EV Toyota/Tesla Woodstock (Canada) Conversion Design Inbound implication of electric car manufacturing The future shift in the automotive value chain of e-cars will transform the nature and level of logistics coordination across dispersed plants. The elimination of traditional components of the combustion propulsion like combustion engine and gearbox combined with the emergence of completely new car modules like battery, electric 2
motor and transmission evolve new relationships within the inbound supply chain. Electrification will also mean that other components such as air-conditioning units, water pumps, brakes and steering systems will have to be adapted (Valentine-Urbschat and Bernhart, 2009). The combustion engine focused car industry, traditionally producing engines in-house, could lose a major part of the value creation to electric drive suppliers. According to a market study the manufacturing depth of vehicle manufacturers in the powertrain segment will decline from 51% to 32% for hybrid cars down to 0% for e-cars (Klink et al., 2009). This generates tremendous new value creation potential for the supply industry and induces an increased inbound transport volume for the vehicle manufacturer. It thus stresses the importance of controlling the costs for transporting finished modules to the main assembly line. Especially the transport of bulky and heavy modules like batteries with high value favours proximate supply (Bennett and Klug, 2012). One crucial determinant of future inbound logistics processes from a car manufacturer perspective is the make-or-buy decision of major modules like batteries, electric motors or power transmissions. These are not only valuable modules and systems of e-cars but also according to their weight and volume the most relevant from a material flow perspective. Traditional inhouse modules like engines and transmissions could be outsourced in the future, which will fundamentally transform the value chain in car manufacturing. Car manufacturers traditionally regard the powertrain as a critical part of their inhouse development and production base. With the arrival of new electric technology, vehicle manufacturers need to redefine their core competences. This is particularly important as electrical components have not traditionally been a focus area for car manufacturers (Valentine-Urbschat and Bernhart, 2009). The most important question, however, may be which part of the value chain of batteries will take place in- house or out-house. There are different scenarios, which will play a major role for future logistics implications of e-car manufacturing. Likely scenarios are: • The vertical integration of a battery producer and an automobile manufacturer in a single company (Wang and Kimble, 2011). • The acquisition of a battery producer by a car manufacturer • The expansion of a battery producer into car production (Wang and Kimble, 2010) • Cooperation of e-car manufacturers with local and foreign battery suppliers Tier-one suppliers like battery makers will try to secure the value implicit in owning core skills, including innovation in batteries and in the new features they could make possible. Competence will migrate from the cell-level chemistry to the level of battery- pack systems, including power- and thermal-management software, and to the electronics optimising a battery’s performance in a specific vehicle (Hensley et al., 2009). In this scenario cell-manufacturer will play a crucial role. They do have significant R&D knowledge for battery chemistries, which is difficult to transfer to car manufacturers. The reason is that the complicated interplay among a battery cell’s core elements (such as the cathode, electrolyte, separator, and anode) determines different aspects of the cell’s performance like power density, safety, depth of charge, cycle life and shelf life (Hensley et al., 2009). Additionally cell manufacturing does count for about 50% of total battery manufacturing costs (Klink et al., 2009). This gives battery manufacturer a dominant power in the future value split of e-car manufacturing. China will together with Japan and Korea play a major role in battery production (Wang and Kimble, 2011). The logistics costs, especially for the heavy and bulk batteries, will have a significant influence on the locations and total network structure of future e-car 3
manufacturing. This will focus future supply chains on Asian markets. The tremendous growth of the Chinese automobile market with the highest level of automobile production and sales in the world, will privilege China as a centre of e-car manufacturing. China has built a complete value chain with a high percentage of locally produced components being incorporated into foreign cars produced in China (Wang and Kimble, 2011). “Although the electric vehicle industry is in its early stages, thanks to its firm foundations in terms of key raw material extractions, battery production and infrastructure for vehicle manufacturing, China has the foundations to build a similar value chain of electric vehicles” (Wang and Kimble, 2011). Inhouse implications of electric car manufacturing To discuss inhouse supply chain implications of e-car production we will define manufacturing phenotypes (Figure 1). We assume that the logistics implications are influenced by the configuration and the coordination of the phenotype itself. Logistics is therefore contingent upon how manufacturing operations are configured in terms of the resources, technology and sequence of operations. This operations-specific objective is used to discuss supply chain implications of each phenotype. Each manufacturing phenotype can be distinguished based on the number of cars produced and the degree of e-car differentiation in relation to the classic “non e-car” types. Generally, the number of cars produced of a specific model mainly depends on the positioning of the car in a low-, medium- or high-volume segment. The primary issue that has challenged the adoption of e-cars, and that continues to be the greatest barrier for a growing volume output, is the high purchase price. Yet e-cars have not been able to offer a reasonably priced alternative to an internal combustion engine automobile with a comparable driving range. Hitherto electrified vehicles are clearly positioned in a niche market (e.g. sports cars or city vehicles). The used split in high, medium and low volumes cannot be compared to the mainstream markets where the majority of automobiles are sold. So the volume of our investigated projects ranges from less than hundred up to tens of thousands produced cars per year, which is far away from traditional volume cars produced on a large scale. Government is going to play a crucial role in overcoming the existing ‘Catch 22’ problem of costs and production volume: while production volumes are small, costs remain high, and while costs are high, the market remains small (Wang and Kimble, 2011). Besides technical restrictions (e.g. limited battery range), political decisions to encourage consumers to acquire e-cars (e.g. government grants) will determine future production volumes. The degree of e-car differentiation in relation to standard cars is based on the design principle of the e-car. Generally there are two contrary concepts – conversion and purpose design (Kampker, 2012). Conversion design is based on conventional car concepts. Petrol engines are replaced by an electric motor without changing of the current automobile architecture. Components which characterise the look and shape of the car model remain retained. Existing body structures are also used to modify the powertrain. One great advantage is that the economy of scale of e-cars in design and manufacturing is linked to the mass-marked conventional vehicles. Most car manufacturers favoured electrifying existing models as an initial market entry strategy. This contrasts starkly with purpose design, which develops and constructs a radical new vehicle, generating a car that is purpose-built to the needs of electro-mobility. This freedom of design allows more radical innovations and offers new functionalities and possibilities (Freyssenet, 2011). 4
Figure 1 - Inhouse e-car manufacturing phenotypes Fully-integrated manufacturing Here, all type of cars (e-cars and non e-cars) are produced on the same high variety manufacturing line. Components and modules can be manufactured at separate side lines, which are then fed into the main line, to perform the mixed final vehicle manufacturing. The large-scale production system of the automotive industry favours the continued production of cars with low cycle time based on existing technologies. As a consequence repetition of processes increases dramatically and reduces manufacturing costs (Shingo, 1981). A crucial logistics goal is to optimise assembly utilisation. In the car industry, capacity utilisation of a factory poses the greatest financial risk and the greatest operational challenge. Logistics therefore primarily focus on operating assembly lines at an optimal level, so long as customer demand equals production supply. Fully-integrated manufacturing is based on the conversion design concept. Well- engineered, large volume non e-cars can be merged with e-cars, based on the same conventional car concept. The maximisation of economies of scale in production is often combined with economies of scope in R&D and support functions (Abele et al., 2008). A fully-integrated manufacturing line, in body, paint and assembly shop, for all types of cars improves the availability of critical personnel and know-how, more intensive knowledge exchange, and shortens delivery times between the car processing stages. This efficiency is linked with higher cost flexibility where different car models can be produced on the same line. The conventional large-scale market vehicle offers huge sunk costs in production equipment at the automobile assembly plant. The full integration of e-cars at a single assembly line leads to an increase in the different part numbers required and thus has an impact on the inventory policies of car manufacturers and the general need to maintain supply flexibility to remain competitive (Berry and Cooper, 1999). A fully-integrated manufacturing phenotype requires late configuration and demands that suppliers deliver in sequence to the assembly plant. Sequenced in-line supply (SILS) is a standard delivery approach in synchronous supply. 5
In this concept, the entire vehicle assembly process is dependent upon the timely delivery of components. Production and delivery according to SILS arrangements puts reliability in focus in such a way that temporal and spatial proximity between supplier and vehicle manufacturer becomes of strategic importance (Bennett and Klug, 2012). Proximity enables low inventory, late configuration and also last-minute revisions in the sequencing to cope with planning failures (Sako, 2006). Where short order cycle time is only a matter of hours, the supplier must be located in close proximity to provide the correct modules within tight time constraints (Fredriksson, 2006). Apart from the conversion design concept one crucial success factor of a fully- integrated manufacturing is the modularisation of the car. Vehicle manufacturers can mitigate the negative impact of product variety on operations performance by using modularity (Salvador et al., 2002). Modularity means that a car is divided into less complex modules with specific interfaces (Baldwin and Clark, 2000). The use of the modular principle in car design is closely linked to the modularity in manufacturing processes, where functional sub-systems of the vehicle can be manufactured independently. The decoupling of manufacturing activities through modularisation has been reported in the automotive industry to lead to both efficiency and flexibility gains (Kinutani, 1997; Wilhelm, 1997; van Hoek and Weken, 1998). Modularity in assembly implies a dispersed assembly system, in which some activities are pre-assembly done (of components into modules) and other activities are final assembly (of components and modules into vehicles) (Fredriksson, 2006). A fully-integrated manufacturing phenotype requires a modularised car architecture based on the conversion design concept. An issue here is the total integration of electro-related manufacturing operations into final assembly line. E-car assembly requires specific time-intensive operations like battery assembly, charging and control. These technological constraints sometimes complicate a fully integrated system and favour a partially integrated bypass manufacturing. Bypass manufacturing This phenotype is characterised by splitting and emerging manufacturing operations and services for economic or technical reasons. Painting, for example, depends on economies of scale through high investment of paint lines, which leads very often to a concentration of painting operations in centralised paint shops for e and non e-cars. Contrary to sheet metal forming, which is based on the traditional metal body panels made on high-productivity transfer press lines with low cycle time. Whilst conversion design cars can be integrated easily, purpose-built cars use a radical new concept of space frame based on lightweight manufacturing technologies. Bypass manufacturing splits up and combines certain sequences of the value creation process to allow partial parallel manufacturing. A modular design of e-cars makes it possible to fragment the production system into sub-systems that can be produced independently and partially parallel. A problem is that the modular strategy necessitates a standardised interface between the e-car and non e-car modules (Budde Christensen, 2011). Standardisation of components and connexions between them is therefore a critical issue. Furthermore, attempts to utilise the modular and platform principle in e-car design allows to integrate alternative technical concepts. The focus of each production step on special manufacturing operations and technologies (e.g., pressing, welding, painting, assembling) raises the dependency as they operate in sequence and is therefore highly dependent upon one another. Hence, matching and synchronisation of the value creation process is a key success factor for bypass manufacturing (Klug, 2011). Managing a synchronous manufacturing system is 6
operationally and logistically difficult and demanding (Bennett and O’Kane, 2006). In order to prevent local build-ups of inventory, material flow must be harmonised so that parts move in a coordinated fashion (Harrison and van Hoek, 2011). The goal is that material flows without interruptions in a highly orchestrated process between the individual strands of the non e-car and e-car value streams. Coordination of material flows by both volume and time is needed because traditionally there is no space for inventory buffers in car manufacturing, which could compensate delays. Synchronisation needs a common beat, which coordinates the activities of all the partners in a value stream. This signal is generated by takt time (“takt” is a German word for rhythm or meter), which ensures that each operation performs equally (Liker, 2004). The takt time is used to synchronise the pace of production with the pace of customer sales. Takt is derived by customer demand – the rate at which the customer buys product. The average production volume of our investigated e-cars are just thousands of produced cars per year, which is much lower than traditional volume cars. Therefore takt time between e-cars and non e-cars differs tremendously. To guarantee an even and harmonised material flow in bypass manufacturing, production schedules have to be levelled out. A mixed production system, levelling by both volume and car mix (non e-car and e-car), is the distinctive feature of a stable manufacturing process to adjust surplus capacity and reject stock (Shingo, 1981). This synchronous manufacturing process necessitates effective material flow management and reliable communications systems and production technologies (Doran, 2001). Contract manufacturing Contract manufacturing is used if the expected e-car output level does not currently meet the requirements for integration in one’s own manufacturing processes and the degree of e-car differentiation in relation to standard cars is high. Contract manufacturers (often called “Little OEM” or “Tier 0.5”) produce low-volume and specialised car models like e-cars for and under the brand name of the established car makers. Traditionally, these companies developed from their engineering business to become niche car manufacturers. Contract manufacturers not only fulfil design and development processes but also take over manufacturing and logistics processes for low-volume vehicles not only focused on e-cars (e.g., convertibles, roadsters and sport utility vehicles). As flexible and technology experts, contract manufacturers manage niche vehicles and volume models in peak or decline phases of their lifecycle, usually for several car manufacturers. Due to their flexibility and know-how they can manufacture at this low level more cost-effectively than the vehicle manufacturers themselves. As a consequence, car manufacturers responsiveness increases according to the ability of the manufacturing system to respond to customer requests in the marketplace (Holweg, 2005). Whereas this higher flexibility is combined with simpler logistics processes for the car manufacturer this production type causes a number of logistics requirements for the contract manufacturer. Generally, contract manufacturers have to deal with different vehicle manufacturers and high numbers of different e-car and non e-car models. They have to manage many suppliers, part numbers, containers and packaging instructions, which leads to higher material flow complexity. In addition, different car makers have different communication systems. Each car maker therefore has his distinctive logistics management system with certain needs, which must be fulfilled on a neutral basis. On the other hand, contract manufacturers have to standardise logistics processes to cope with cost structures. Bundling in all material flows ensures cost efficiency. 7
Parallel manufacturing This phenotype is based on the purpose design concept, which develops and constructs a radical new vehicle. This freedom of design generates e-specific components and modules with e-specific operations in manufacturing and logistics. Parallel manufacturing splits up operations between e-cars and non e-cars, which avoids interference between value streams queuing up to utilise shared resources. Parallel manufacturing various gradually from assembly up to body shop. A totally fragmented manufacturing system where assembly, painting and body shop is separated between e- cars and non e-cars is according to the low volume of non e-cars unlikely to be adaptable. As long as e-cars remain a niche market, high investment in body and paint shop lead to parallel manufacturing only in the assembly shop. In this case e-car assembly lines are separate and totally focused on e-technologies. Investing in a separate assembly line with separate supply processes implies high investment combined with a higher risk of capacity utilisation. On the other hand, building up product-driven manufacturing layouts enables more separated and streamlined material and information flows. Specialised assembly lines employ common materials, set-up procedures, labour skills, cycle times, tool and fixture requirements, and, especially, work flow or routing (Schonberger, 1986). Additionally, special e-car requirements, like safety instruction for battery handling, can be better fulfilled (Wittek et al., 2012). If the number of produced e-cars exceeds a further economic threshold in the future a multi-site production is possible. In a multi-site parallel production, multiple plants build the same e-car model. Although this dispersed manufacturing concept decreases economies of scale, it achieves a high level of customer proximity with high market flexibility and low delivery times. National requirements on electro-mobility, which can vary tremendously between different countries, can be better fulfilled. Frequently, a broader production footprint enables the car manufacturer to participate in low-cost series production in a low-wage location. Availability of local resources, such as social and industrial structures, easy access to logistics and communication networks and skilled employees also play a major part in location decisions. Another consideration in choosing a location is the existence of automotive clusters. They enable proximity to an established supplier base as well as design, engineering, operations and logistics know- how. In addition, greater flexibility in capacity planning is achieved. Demand variations can be better compensated, contrary to a single-site production concept where demand fluctuations immediately lead to capacity variations with negative employment effects. However, car allocation to plants is restricted for technical reasons, by the personnel skills available at every location, and because of general policy (Fleischmann et al., 2006). The position of an e-car model can change dynamically according to its lifecycle position. Whilst an e-car can start with a low-volume manufacturing type (e.g., contract manufacturing) the operations model can transform to a middle- and high-volume phenotype. This implies a flexible split of capacity demand on different production sites. By analogy to McDonald’s (1986) idea of floating factories where plant locations are not inertly fixed, so that each plant can be relocated as the market situation changes, a multi-site parallel production generates a capacity floating without the high relocation costs of floating factories. Outbound implications of electric car manufacturing Outbound driven aspects discuss the need to set up a network to recharge or exchange the batteries and to install an electronic billing system (Freyssenet, 2011). Concerning the recharging strategies - the installation of a charging infrastructure for supplying the electric vehicles with power - and the metering infrastructure – to guarantee a dedicated 8
billing – requires a high investment (Ernst et al., 2011). Especially the question of battery recharge versus exchange strategy will have a tremendous influence on the logistic structures. Exchanging heavy and expensive batteries at special service points involves high handling, transport and storage costs. The predictable change of technology from internal combustion engine to electric mobility will further have a high impact on the whole automotive aftermarket. The new spectrum of parts, which comes along with e-cars, will change the after sales logistics significantly. Automotive manufacturers and suppliers, which have traditional core competencies in engines, clutches and gearboxes have to realign their strategy and identify new business opportunities. Spare parts like exhaust systems with mufflers and centre mufflers are obsolete in e-cars. Furthermore electronic components such as starters, alternators and fuel pumps, including its sensors are not needed in e-cars (Dombrowski et al., 2011). This combined with longer service intervals induce a massive slump in the sale of spare parts, which reduces the profit margins in the spare parts business. The main change drivers are a decreasing share of mechanical and moving parts, longservice intervals, an immature battery technology, less additional units and limited opportunity for self-service (Dombrowski et al., 2011). Car manufacturers will face radical changes in sales and distribution so that dealer and service networks must be made ready for the broader product portfolio (Valentine- Urbschat and Bernhart, 2009). Conclusions This paper analysed the impact of electric car manufacturing on supply chains. The analysis was focused on the inbound, inhouse and outbound perspective of the car manufacturer. Manufacturing phenotypes were constructed to capture and describe the complex interrelations between operations and logistics management. These manufacturing phenotypes have been used to separate and classify configuration and coordination principles, which helped to reach a better understanding of manufacturing operations with their logistics implications. As part of future research the introduced concept to assess supply chain implications has to be extended with a suitable evaluation approach. Full visibility of the total landed costs is one part of this evaluation model. Further criteria, such as market development, low-cost sourcing, high-grade knowledge and avoiding business risks, also have to be taken into account. References Abele, E., Meyer, T., Näher, U., Strube, G. and Sykes, R. (Eds.) (2008), Global Production – A Handbook for Strategy and Implementation, Springer Verlag, Berlin. Baldwin, C.Y. and Clark, K.B. (2000), Design Rules – The Power of Modularity, MIT Press, Cambridge, MA. Bennett, D. and O’Kane, J. (2006), “Achieving business excellence through synchronous supply in the automotive sector”, Benchmarking: An International Journal, Vol. 13, No. 1/2, pp.12-22. Bennett, D. and Klug, F. (2012), “Logistics supplier integration in the automotive industry”, International Journal of Operations and Production Management, Vol. 32 No. 11, pp. 1281-1305. Berry, W.L. and Cooper, M.C. (1999), “Manufacturing flexibility: methods for measuring the impact of product variety on performance in process industries”, Journal of Operations Management, Vol. 17, No. 2, pp. 163-178. Budde Christensen, T. (2011), “Modularised eco-innovation in the auto industry”, Journal of Cleaner Production, Vol. 19, No. 2-3, pp. 212-220. Dombrowski, U., Engel, C. and Schulze, S. (2011), “Changes and challenges in the after sales service due to electric mobility”, International Conference on Service Operations, Logistics and Informatics, Beijing, pp. 77-82. 9
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