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{"id":3031,"date":"2020-04-21T06:14:36","date_gmt":"2020-04-21T06:14:36","guid":{"rendered":"https:\/\/tvs-test.co.za\/ccred\/?p=3031"},"modified":"2024-05-22T11:20:12","modified_gmt":"2024-05-22T11:20:12","slug":"repositioning-the-future-of-the-south-african-chemicals-industry","status":"publish","type":"post","link":"http:\/\/tvs-test.co.za\/ccred\/2020\/04\/21\/repositioning-the-future-of-the-south-african-chemicals-industry\/","title":{"rendered":"REPOSITIONING THE FUTURE OF THE SOUTH AFRICAN CHEMICALS INDUSTRY"},"content":{"rendered":"\t\t
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Digital Industrial Policy Brief 5<\/strong><\/h2>

Justin Barnes<\/strong>[1]<\/strong><\/a> and John White<\/strong>[2]<\/strong><\/a><\/p>

Industry Background<\/strong><\/p>

The global chemicals sector grew at a healthy 6% on average over the period 2006 to 2015. However, China contributed most of this growth, growing at an average 18% per year. As a result, its share of global chemicals production grew from 13% to 37%. Capital investment within the global chemicals industry is fully aligned with this trend, with 73% deployed in Asia-Pacific in 2013, up from already dominant 54% in 2006.[3]<\/a> The rise and now dominance of China in the chemicals manufacturing sector is significant for the future of the sector globally.<\/p>

While China\u2019s growth has been concentrated in low-profit commodity sub-sectors, more recent evidence reveals that it is climbing the technology ladder and increasing its market share in higher-technology, and traditionally higher margin sub-sectors such as technical polymers and battery materials. The increasing dominance of Chinese chemicals manufacturing has placed inordinate pressure on the balance of the global chemicals industry. Innovation and efficiency-seeking organizational re-alignment have become key drivers within the global chemicals value chain, as depicted in Figure 1.<\/p>

Figure 1: Chemicals value chain overview<\/strong><\/p><\/div><\/div><\/div>

\"Source:<\/div><\/div>

Source: B&M Analysts (2017)<\/p><\/div><\/figcaption><\/figure><\/div><\/div><\/div>

The chemicals sector draws inputs from a broad range of sources, employs a wide range of processes and displays a long, often highly globalised and increasingly commoditised value chain. It delivers integral inputs into many sectors (and end-markets) ranging from automotive to agriculture, construction and pharmaceuticals. The scope for digital disruption within the chemicals sector is therefore broad, both in terms of the complexity and length of the chemicals value chain itself, and in terms of the multiple sectors and end-markets the chemicals value chain typically services.<\/p>

Introduction<\/strong><\/p>

No significant digital disruption has yet occurred within the chemicals value chain, nor is there any short-term indication of such disruption. The position of the chemicals sector consequently appears quite different to that of digitally disrupted service sectors, such as banking and entertainment; or other manufacturing sectors, such as the automotive and the retail-facing clothing and textiles industry, which appear to be in the early throes of major disruption because of Industry 4.0.<\/p>

The scale requirements, diversity and interlinked nature of the sector as well as inbuilt technology intense processes have and continue to protect the chemicals industry, to a degree, from new entrants and business models. There are however isolated but increasing examples of value being created and shared in very different ways within the chemicals value chain that may render more fundamental disruption within specific sub-sectors and end-markets. \u2018Chemicals as a service\u2019 is one such example. There are also promises of breakthrough manufacturing methods, such as digital light synthesis in additive manufacturing, and significantly enhanced supply chain coordination and optimisation through the application of the Internet of Things (IoT), and the associated use of big data, machine learning and Artificial Intelligence.<\/p>

Nano-technology and chemistry go hand in hand and nano-technology is increasingly being used to optimize chemicals manufacturing processes. Swiss scientists \u201chave found a way to construct catalytic model systems – that is, experimental set-ups – accurate to one nanometre and then to track the chemical reactions of individual nanoparticles[4]<\/a>\u201d.<\/p>

Product innovations are continuous and varied with chemicals innovations facilitating product advancements in downstream sectors. As examples, the consumer electronics boom is in large part facilitated by advanced plastics and adhesives and other products allowing larger, smarter, thinner screens; the move to light weighting in auto and aerospace industry in driven by advances in plastics that are smarter, stronger and lighter. While the rate of innovation will likely accelerate due to Industry 4.0, process and product innovation are central to the chemicals industry and are not foreseen to fundamentally disrupt it.<\/p>

Process optimisation focus; driven by big data and the Internet of Things (IoT)<\/strong><\/p>

Already generating and managing significant amounts of data through valves, sensors, flow meters, heat and pressure gauges, vessel pressure and level monitors distributed throughout plants, highly automated chemicals manufacturers have long been on a path to \u2018digitalisation\u2019, a commonly used sector term relating to Industry 4.0. These efforts have been piecemeal however and largely focused on augmenting current or investing in new solutions to drive internal process efficiencies. This trend will only accelerate as computing power and machine learning algorithms continue to advance at a rapid pace. As evidence of firms\u2019 commitment to driving process improvements, a large-scale global survey[5]<\/a> indicated that chemical companies plan to invest 5% of their annual revenue (or approximately half their average operating profits) in digital advancements within their operations over the period 2016 and 2021.<\/p>

Big data and the Internet of Things (IoT) create significant opportunities for process optimisation. With complex and interlinked processes that are generally contained in liquid or gas form, increased process visibility will improve the availability of capital and facilitate process improvements. Enhanced, real time process data, as well as machine-based data analysis is anticipated to drive further efficiency gains within manufacturing processes, heightening competitiveness pressures within chemicals value chains.<\/p>

One of the focal points of this efficiency-seeking digitalisation is the reduction of waste, specifically heat, which is a significant input cost to most chemical plants. Modelling of the many data points in real time can develop and maintain the most optimal energy plan and identify other potential applications for the surplus heat being generated in the conversion process. The growing phenomenon of industrial symbiosis, particularly prevalent in the chemicals sector which includes the trading of waste, byproducts and excess resources between firms will be supported and accelerate through big data and IoT. The renowned Kalondburg Symbiosis in Denmark consists of 12 co-located entities that collaborate through industrial symbiosis. IoT is being utilized to optimize this longstanding industrial symbiosis by amongst others enhanced water management practices.[6]<\/a><\/p>

Manual oversight and interventions can either be avoided or substantially reduced through pre-emptive automated interventions driven by data analysis and artificial intelligence. Where required manual intervention can also be optimized and made significantly safer through factory staff being empowered with real time process information (and guidance on corrective actions).<\/p>

Assisting to pre-empt breakdowns, shortening machine changeover times, reducing shortages\/overproduction, and avoiding safety incidents are amongst the many benefits of the enhanced collection, analysis, communication and use of data within complex, capital intensive chemicals manufacturing plants. Digital solutions to gather or improve data collection, interpret results, and direct responses are generally packaged as augmentations to existing systems, as opposed to fundamentally disruptive new technologies.<\/p>

Generally, procured from third parties, such as Siemens and ABB, and based on which interventions secure the quickest financial return, firms recognise the risk that systems will not be integrated and that the full benefits available may not be realised. Legacy assets and systems and continuous technology change make this the most viable approach although increased fragmentation is a significant risk as more data is collected across disparate systems. These process focused responses to Industry 4.0 disruptions are clearly transformative but not revolutionary. They are incremental and can at best drive small margin improvements, although new experiences, competencies and an appreciation of future opportunities are gained through implementation, opening the space for potentially greater levels of future disruption.<\/p>

Further and more disruptive operational opportunities relate to the use of big data to simulate scenarios ranging from the production of new formulations, testing for risk incidents, delivering training, or augmenting product characteristics \u2013 all without impacting on the physical plant. Experiences in these areas are however presently limited to larger multinational corporations (such as Dow and BASF). Siemens is a leader in the field of digital twinning and offers Dulux Australia as a case study of a fully digital plant, including a digital twin. It cites savings of 75,000 manual interventions per year (over the previous plant), energy savings of 25%, batch size reductions and production speeds increased up to eight times amongst other benefits.[7]<\/a><\/p>

BASF, the world\u2019s largest chemicals company by turnover ($75 billion in 2018[8]<\/a>) categorises Industry 4.0 opportunities in five areas[9]<\/a>. The first is Smart Manufacturing with the focus on process optimisation as outline above. This approach does reach beyond the factory with connectivity into the market an increasing focus. This is further focused on in their Smart Supply Chain area where they detail how big data can impact on customer interfaces, while also being used to drive supply chain efficiencies; thereby improving planning, stock holding, and better aligning value adding processes with direct customer or even end consumer demands.<\/p>

Maintaining strong inter-firm linkages has generally been a priority for the lead firms that dominate Global Value Chains within the chemicals industry, although the explosion of data availability (e.g. weather, traffic, Point of Sales data, etc.) and machine learning technologies capable of automatically analysing the data is generating substantial additional value through optimized logistics, improved planning and enhanced operational visibility, amongst other benefits. While greatly beneficial, the increased integration and leveraging of data across suppliers, customers and from third parties creates further complexity in terms of systems integration, while also raising questions of data ownership within complex value chains and the framing of value chain responsibilities.<\/p>

BASF\u2019s third focus area is Smart innovations, using Industry 4.0 to boost their R&D efficacy and impact. Here the focus is again on process efficiencies, but within the R&D process itself.\u00a0 BASF is focused on enhancing data usage to drive more effective R&D activity. This is being done by creating digital twins of plants to model new formulations prior to physical prototyping, and by digitally integrating with customers. BASF is using shared data to better inform and drive its own internal R&D processes in alignment with the \u201cvoice of the customer\u201d.<\/p>

Despite its formidable size and depth of available technologies, even BASF is less clear as to how to drive their fourth focus area, which is Digital Business Models \u2013 the paradigm shifting opportunities involving entirely new digitally-based business models. Case studies focus on improved customer service delivered via on-line platforms and increasing value addition and customer loyalty through real-time data analysis, but these are not necessarily paradigm shifting. With relatively less progress evident in this area, BASF\u2019s fifth focus area of driving start-ups becomes understandable. BASF have a significant programme to attract and support small innovative firms that they can collaborate with on their digitalisation journey. This strategy is evident in other environments, such as the automotive and aeronautics industry, and represents recognition that major disruption is as likely to emerge from outside of the established chemicals industry as it is from the major corporations that presently dominate global production.<\/p>

At its Smart factory pilot plant in Kaieserlautern BASF produces fully customised shampoos and liquid soaps. As a test order is placed online, radio identification tags attached to empty soap bottles on an assembly line simultaneously communicate with production machines what kind of soap, fragrance, bottle cap colour, and labelling is required. Each bottle has the potential to be entirely different from the one next to it on the conveyor belt. The experimental layout relies on a wireless network through which the machines and products communicate, with the only human input coming from the person placing the sample order[10]<\/a>.<\/p>

Relatively few examples exist of chemicals firms changing the entire paradigm of their offering, although this could accelerate once the commercial advantage of doing so is established. Offering a complete service rather than selling a chemical product may not be feasible in all industrial applications although there are increasingly examples of chemicals firms servicing the market in this manner. An example is water treatment services where this is already an entrenched model. United Nations Industrial Development Organization\u00a0(UNIDO) is driving this model in line with the 2030 Sustainable Development Goals through its Chemical Leasing programme which lists successfully implemented examples of chemicals leasing across several sectors[11]<\/a>. This concept is based on aligning the outlook of both buyer and seller of chemicals to reduce consumption and maximize efficiencies, rather than the traditional model whereby the seller looks to increase consumption and the buyer to reduce it.<\/p>

Additive manufacturing<\/strong><\/p>

Additive manufacturing offers an array of opportunities for chemicals firms. Commercially, the opportunity exists for chemicals manufacturers to supply rapidly emerging chemicals requirements in the additive manufacturing space. For example, Adidas is using Digital Light Synthesis, a chemicals-based process, in its new commercially scaled Fast Factories[12]<\/a>, which have recently been built in Germany and the United States. As additive manufacturing shifts from a largely heat-based sintering process to a chemicals-based one, major commercial opportunities emerge for the chemicals industry. A further opportunity relates to synthetic biology (e.g. the development of bio-inks that permit the manufacture of organic manufacture using chemical process). The materials used in these processes will evolve rapidly over the next few years, but their chemicals base is unlikely to change, opening an entirely new market for chemicals manufacturers while also challenging others operating in sectors that may be displaced. The concept of highly decentralised production enabled by additive manufacturing also raises a range of risks and opportunities for chemicals manufacturers. Who in the evolved value chain will control it and enjoy the benefit?<\/p>

Less dramatically, additive manufacturing also presents major opportunities for capital intensive chemicals manufacturers to cost effectively design and test solution prototypes prior to their confirmation for volume production, while also providing firms with the means to manufacture critical pieces of capital equipment on-site (potentially as directed by IoT-based algorithms that can predict the failure of the capital equipment), thereby obviating the need for the holding of large amounts of expensive additional capital equipment.\u00a0<\/p>

An example can be found in a University of Glasgow project[13]<\/a>. A team at the university 3D printed a polypropelene reaction vessel that could serve as a cost-effective alternative to conventional steel reactors. While successful up to 150 degrees Celsius, the largest batch it produced was only 20 millilitres. While this is some distance from commercial application, the signs of potential major future disruption are evident.<\/p>

Skills implications<\/strong><\/p>

Vastly new skills sets are clearly needed by chemicals manufacturers to respond to the challenges and capture the opportunities embedded within the transition to Industry 4.0. A move away from lower skilled workers is clear given the increasing sophistication of chemicals plants. It is necessary for leadership within firms to drive a culture of research and development and create an environment conducive for the speculative testing of emerging digital technologies to capture emergent opportunities. Skills development priorities below the executive level are project management skills, to scope and implement Industry 4.0 projects successfully; technical skills in areas of systems integration; and data analytics and interpretive skills to make optimal use of the new systems and capture the value that is possible through Industry 4.0 adoption. Engineers will require increased exposure to computer coding to set up, customise and manage new systems. Operations staff will require the skills to interpret an increasing amount of increasingly complex data and input back into new systems.<\/p>

There are very mixed estimates on the impact of Industry 4.0 on employee numbers. It is clear however that with increasingly smart and connected factories more can be produced with less. This creative destruction will create new jobs elsewhere, but this will only be the case in countries that support the creation of these new jobs through significant skills development programmes.<\/p>

Extent of Industry 4.0 adoption<\/strong><\/p>

Before turning to consider the implications for South Africa it is useful to review current Industry 4.0 adoption in leading markets. Industry 4.0 is subject to much hyperbole and Mckinsey\u2019s[14]<\/a> 2016 Industry 4.0 Global Expert Survey casts a useful and pragmatic light on the extent of adoption to date.<\/p>

While surveyed firms in Germany, Japan and the United States were optimistic about Industry 4.0 adoption, only 16% of the surveyed manufacturers had an Industry 4.0 Strategy in place; only 24% had assigned clear responsibilities to it; and in only 19% of firms was the Industry 4.0 strategy being driven directly by the CEO. Industry 4.0 applications that companies had made the most progress in implementing over the last year included smart energy consumption, real-time supply chain optimisation, remote monitoring and control, digital quality management, and digital performance management.<\/p>

While the South African chemicals industry would likely lag these indicators, and while South African examples of Industry 4.0 adoption are limited and often foundational (as are the most common implementation examples in developed economies surveys) it is sobering that the developed world is some distance from mastering Industry 4.0 nor advanced so significantly that the gap with South African firms is immutable.<\/p>

South African consequences<\/strong><\/p>

The key questions relating to digital disruption for the South African chemicals value chains can be summarised as:<\/p>