1. Introduction
Industrial operations must follow proper procedures to ensure safety, productivity, and quality. Most organizations use Standard Operating Procedures (SOPs) that document official instructions for operators to follow. The application of SOP reflects the knowledge and skills from both procedure designers and operators. As discussed by Dien [
1], the optimal distribution of responsibility between designers and operators depends on the complexity and variability in the operation. For complex operations, such as diagnosing a system error that could have many different causes, it is often difficult for designers to provide very specific procedures covering all the situations (Work-As-Imagined). In such cases, it is important to understand operators’ capability and flexibility to make things go right (Work-As-Done), as advocated by Hollnagel, Wears, and Braithwaite in the Safety-II approach [
2]. In complex work domains, such as aviation and healthcare, greater responsibility resides with the operators who need to apply their knowledge in identifying the situation and solving the problem. Sometimes, operators choose not to adhere to SOP intentionally because they think of SOP as outdated, less efficient, or not applicable to the specific case. For example, a field study of nuclear power plant operators found that operators frequently made decisions using their experience and knowledge rather than strictly following SOP when dealing with micro-incidents [
3]. A report of forensic analysts also showed that analysts often treat SOP as a baseline of knowledge that informs practice and they often rely on tips from colleagues and personal experience [
4].
On the other hand, for simple routine operations, it is more likely for designers to provide an optimal SOP that covers detailed actions to carry out the tasks. In such cases, operators are expected to closely follow the instructions without deviation. Operator deviation from SOP has caused serious accidents. In 2005, the BP Texas City Refinery explosion killed 15 people and injured another 180 in the United States [
5]. In this case, operators deviated from start-up SOP and continuously pumped flammable liquid hydrocarbons into the raffinate splitter tower of the unit for over three hours with no output. Chemical Safety and Hazard Investigation Board found that the operators developed their own practices to resolve reoccurring issues because they deemed the SOP outdated and ineffective [
5,
6].
In another case of the Japanese Tokaimura nuclear accident in 1999 [
7], operators deviated from SOP of uranium processing that prepares fuel for a nuclear reactor. Two workers were killed, and hundreds were exposed to nuclear radiation. The SOP required radioactive substance containing uranium to be gradually mixed and prepared in small amount to avoid dangerous radioactive chain reaction. However, the operators intended to save time and bypassed the procedure. They manually poured seven buckets of uranyl nitrate solution altogether into the precipitation tank, which created a concentration of uranium exceeding the critical mass of self-sustaining chain reaction.
In both the above cases, operators failed to follow SOP. It is important to note that the reason is not because they accidentally forgot the SOP. They knew the SOP but wanted to improve the procedures and be creative. However, they did not fully understand the mechanism of the process, nor the reasons for the critical steps in the SOP.
The lack of adherence to procedures is generally regarded as a problem in routine operation of the process industry. Researchers in the field of safety also emphasized the importance of studying operator adherence to procedures as an indicator of process safety [
8,
9]. How to effectively improve adherence to operating procedures remains a research question. Common practices have focused on operator re-training. If operator deviation is identified in the workplace, a common practice is to re-train the operators by requiring them to study the SOP again. However, a report in the pharmaceutical industry suggested that this common practice is not effective in reducing human error [
10]. We argue that there is a problem in the current practice of SOP and instruction manual design.
SOP is often presented in written formats such as manuals. Manuals are used both as training materials and references in routine operation. For example, a typical manual for an oil refinery plant includes procedures for plant start-up, continuous operation, and shutdown. SOP designers are usually experts in the field and have more knowledge about the process than operators. When designing SOP, designers have their reasons for each step, each parameter, and the specific order of steps. Although SOP should inform operators both
how to do the task step-by-step and
why the steps must be followed, many SOP manuals and instructions focused on
how, but were weak on
why [
11]. It is often recommended that SOP manuals should include “simple, step-by-step instructions that an operator who has basic knowledge can perform without supervision” [
12]. Although sections describing warnings and cautions are also required in SOP manuals, such sections usually discuss the whole process in general, and there is a lack of explanation pertaining to each step of the procedure [
13]. SOP designers may assume that operators should have the basic knowledge from their training and education to understand the reasons behind each step, but companies have the motive to reduce budget in hiring highly educated workers and training operators. In both the BP Texas City Refinery accident [
5] and the Tokaimura nuclear accident [
7], the operators did not have the knowledge needed for judging the situation nor inventing new procedures.
In this paper, we advocate a new approach to SOP manual design called explanatory manual. Explanatory manual design aims to bridge the knowledge gap between SOP designers and operators. SOP designers are experts of the process, but operators’ role does not and should not require the same level of expertise. An explanatory manual concisely explains the reason behind each critical step of SOP, considering operators’ knowledge background and tendency to simplify and deviate from SOP. Explanatory manuals can be used as guidelines and references during operation. They can also be used in training to emphasize safety knowledge pertaining to each step. Psychology studies showed that understanding the meaning of learning materials improves memory recall [
14] because declarative memory is stored in a semantic network of concepts, and comprehension provides more meaningful concepts to be connected in the network for a stronger memory structure [
15]. We expect that explanatory manual can improve adherence to operating procedures and therefore improve process safety.
To examine the effect of explanatory manual on adherence to operating procedures, we conducted a controlled experiment that asked participants to operate a hydraulic pump system simulating the washing operation in the electroplating industry. We designed two versions of manuals for the same procedures. The explanatory version introduced both how to do the task step-by-step and why, whereas the procedural version introduced only how. Performance and adherence to operating procedures were compared between participants receiving the two versions of manuals.
2. Methods
2.1. Apparatus and Tasks
The experimental setup of the hydraulic pump system used in the current study is shown in
Figure 1. Hydraulic pumps are prominently used across many industrial processes. The experimental setup was constructed to represent a small pilot plant system that could be found in an industrial setting. The underlying mechanism of hydraulic pump systems is fluid mechanics, which is a fundamental area of study in chemical engineering. The setup was designed to cover only basic fluid mechanic concepts of flow rate and pressure so that participants were able to understand them through training and practice in the study.
A schematic diagram of the hydraulic pump system is shown in
Figure 2, which was also described to participants. It was a closed system that operated using a centrifugal pump to continuously pump water from the water tank to an elevated height, where it was then diverted from the main pipeline into a maximum of four streams (washing stream, stream B, diluting and cooling streams) and cycled back into the water tank. There were six valves in this system and participants were required to operated five of them. The inlet valve was used during start-up and shutdown. The bypass valve, valve B, diluting valve, and cooling valve were used to adjust operating criteria and control parameters within their required ranges. There were two operation parameters, washing stream flow rate and stream B flow rate. Flow rate sensors and the LABVIEW software were used to measure and display flow rates. A computer was used to display the control screen, which consisted of chemical input controls (simulated), visual alarms, and operating criteria indicators. To ensure safety of the participants, only water was used in the pump system. Participants were instructed to imagine it as an industrial situation where chemicals were used.
The experimental tasks required participants to operate the pump system in accordance to SOPs for start-up, continuous operation, and shutdown. The SOPs were explained in the manual provided to participants to learn and use. The experimental scenario assumed that the participant was hired as a new operator in charge of the wash system (i.e., the hydraulic pump system) at a metal manufacturing plant. The tasks were designed based on several common scenarios encountered during actual production in the process industry. First, participants started the pump system following start-up SOP. Then, during normal operation, they were instructed to always (1) maintain inlet flow rate within the range of 15–20 L/min and (2) maintain a pressure drop less than 2 psi. These two objectives represented the safety requirements in this experimental scenario. In addition to these basic requirements, each participant received four trials of production change tasks during normal operation. Each trial was initialized by a production order that instructed the participant to change stream B flow rate and washing stream flow rate to new values specified in the production order. They were also instructed to complete all changes made to the system as quickly as possible. The difficulty of this task was that participants had to manipulate four flow control valves to set four parameters within the required range, and all four valves influenced all four parameters. The first trial was treated as practice, and the results from the last three trials were included in analyses. Finally, participants shut down the system following shutdown SOP.
Regarding the two types of manuals, both procedural and explanatory manuals contained basic information including introduction of the scenario, electroplating process, wash system, operating criteria, production order, start-up steps, production change steps, and shutdown steps. The information was sufficient to operate the system properly if participants closely followed all the instructions. The explanatory manual had additional explanation of the purposes of the important steps, as shown in
Table 1,
Table 2 and
Table 3 for the start-up, production change, and shutdown procedures respectively.
2.2. Experimental Design and Variables
The experiment employed a 2 × 3 between-subject design. The primary independent variable was type of manual with two conditions, procedural manual and explanatory manual. Participants were randomly assigned to one of the two conditions. Since participants with different education background may have different levels of knowledge related to the hydraulic pump operation, participants’ education level was recorded as a secondary independent variable, which included three conditions: Chemical engineering, other engineering, and other faculties (non-engineering). We also designed a test and tested participants’ background knowledge about basic fluid mechanic concepts of hydraulic pump, flow rate, and pressure. The test score was recorded and included is the statistical analysis as a control variable.
The dependent variables included task completion time, Percent Duration within Bounds (PDWB), Adherence to Production Order Procedures (APOP), and Adherence to Wait Time (AWT).
Task completion time measured the average time duration in seconds required by a participant to complete a production change trial. It was measured by an experimenter using a stopwatch. Values from multiple trials of each participant were averaged for analysis.
Percent Duration Within Bounds (PDWB) measured the percentage of time duration that the operating criteria of inlet flow rate and pressure drop are met during production change trials. The values were calculated using LABVIEW.
Participants’ adherence to operating procedures was measured in two different aspects. Adherence to Production Order Procedures (APOP) measured participants’ degree of adherence to each step as well as the sequence of steps specified in SOP, with the exception of wait time procedures. Adherence to Wait Time (AWT) measured participants’ degree of adherence to waiting for the full duration of the wait time specified in SOP. An incorrect action was defined as not waiting for the full duration. Both types of adherence are important for process safety. The BP Texas City Refinery explosion [
5] exemplified the failure of APOP, while the Japanese Tokaimura nuclear accident [
7] illustrated the failure of AWT. For both measures, a percentage score was calculated as the ratio of the total number of correct steps divided by the total number of steps. A survey question was also used at the completion of the experiment to ask participants for their reasons to deviate from SOP. The survey results were qualitatively analyzed to identify top reasons mentioned by the participants.
2.3. Participants
A total of 60 undergraduate and graduate students (31 male and 29 female) were recruited as participants from the University of Waterloo. Among them, 14 participants were from the department of chemical engineering, 18 from other engineering departments, and 28 from non-engineering departments. The study received ethics clearance through a University of Waterloo Research Ethics Committee. Participants received a remuneration of $30 for their time. The study took about two hours for each participant.
2.4. Procedure
Participants were given an information letter to read and completed the informed consent procedure. The information letter explained the general purpose of this study as studying operation manuals and operator performance but did not mention the two types of manuals nor the comparison between them. Since a between-subject design was used, each participant only experienced one type of manual, and the manuals contained no label of procedural or explanatory. Therefore, the participants’ behavior was not likely to be affected by the researchers’ hypothesis on the two types of manuals.
Participants completed a demographic survey and a background knowledge test about hydraulic pump operation and basic fluid mechanic concepts. Prior to the start of the formal experiment, participants were given an SOP manual (either the procedural or explanatory version) to read. Then, they started the formal experiment. Participants were instructed to operate the pump system closely following SOPs for start-up, continuous operation (with production change trials), and shutdown. After completing the tasks, they were asked to fill a survey about their usage of the manual including the reasons for any deviation from SOP. At the end, participants were paid and thanked for their involvement in this study.
3. Results
Statistical analyses were performed using SPSS. The results from the background knowledge test showed that participants assigned to different experimental conditions had different levels of knowledge related to operating hydraulic pump systems. Two-way ANOVA of the background knowledge score indicated a significant effect of manual version group assignment (F(1, 54) = 10.581, p = 0.002, η2 = 0.077), a significant effect of education level (F(2, 54) = 25.286, p < 0.001, η2 = 0.367), as well as a significant interaction between the two (F(2, 54) = 11.308, p < 0.001, η2 = 0.164). As a result, the background knowledge score was included in further analyses as a co-variant.
ANCOVA was conducted to examine the effects of manual type and education level on each of the dependent variables. Regarding task completion time, the effects were not significant for manual type (F(1, 53) = 0.331, p = 0.567, η2 = 0.006), education level (F(2, 53) = 0.333, p = 0.718, η2 = 0.012), and the interaction (F(2, 53) = 0.496, p = 0.612, η2 = 0.018). Overall, participants completed each trial of production change task in 321 s on average (SD = 91 s).
Regarding Percent Duration Within Bounds (PDWB), the effects were not significant for manual type (F(1, 53) = 0.069, p = 0.793, η2 = 0.002), education level (F(2, 53) = 0.089, p = 0.915, η2 = 0.003), and the interaction (F(2, 53) = 0.313, p = 0.732, η2 = 0.011). Overall, participants achieved 43% PDWB (SD = 15%).
Regarding Adherence to Production Order Procedures (APOP), the results showed that manual type has a significant effect (
F(1, 53) = 6.571,
p = 0.013,
η2 = 0.099). The effects of education (
F(2, 53) = 1.991,
p = 0.147,
η2 = 0.060) and the interaction (
F(2, 53) = 1.368,
p = 0.263,
η2 = 0.041) were not significant. As shown in
Figure 3, participants assigned to use the explanatory manual had significantly higher APOP (
M = 68%,
SD = 39%) compared to those assigned the procedural manual (
M = 44%,
SD = 44%). Although there was no significant interaction effect, visual inspection of
Figure 3 suggested that the difference between the two types of manuals might not be significant for participants from other faculties (non-engineering). A follow-up analysis was performed using independent samples T test (two-tailed). The result showed no significant difference between the explanatory and procedural manual conditions for non-engineering participants;
t(26) = 0.444,
p = 0.66.
Regarding the reasons why participants deviated from SOP, the most mentioned reason by 43% of the participants in the procedural manual condition was because they considered using their own methods as easier or better than the instructions provided in the manual, and which was followed by unintentional errors (mentioned by 33%), such as slips and lapses. In the explanatory manual condition, the most mentioned reason was unintentional errors (mentioned by 53%), and very few participants in this group thought it was easier or better using their own methods (10%).
Regarding Adherence to Wait Time (AWT), the effects were not significant for manual type (F(1, 53) = 0.355, p = 0.554, η2 = 0.006), education level (F(2, 53) = 0.526, p = 0.594, η2 = 0.019), and the interaction (F(2, 53) = 0.399, p = 0.673, η2 = 0.014). Overall, participants achieved 62% AWT (SD = 29%).
4. Discussion
The current study examined SOP manuals in routine operations where the tasks and steps can be clearly and precisely described. The results showed the benefit of using explanatory manual in comparison to procedural manual in terms of better adherence to operating procedures (i.e., APOP), while time performance and PDWB remained similar. This finding confirms that if employees are provided with a reason why they need to follow to certain procedural steps or sequences, they will be more likely to adhere than if they do not understand the importance for adhering and the consequence of not adhering. Although this idea is intuitive, it is interesting to find that a simple addition of the purposes and reasons in the manual can make a significant difference. Companies are sensitive to the cost associated with training. Implementing explanatory manual requires SOP designers to explicitly state their reasons behind each step but has minimal impact on the training procedures and training cost. With the help of explanatory manual, instructors can clearly and thoroughly explaining to new operators the purpose for performing certain steps that are essential to the operation. This is expected to help bridge the knowledge gap between SOP designers and operators. The current study showed the tendency for new operators to feel overwhelmed as they lack the experience and knowledge. If they do not clearly understand the necessity for certain procedures and its impact on the overall process and safety, they are likely to attempt to simplify the process or create their own methodologies following their intuition. As shown in the current results, the top reason for deviating from SOP when using the procedural manual was because participants considered using their own methods as easier or better. In the explanatory manual, however, the most mentioned reason was unintentional errors. The finding from the current study provided evidence to support the new approach of explanatory manual in SOP manual design.
Adherence to operating procedures indicates process safety, while performance measures such as task completion time focus on process efficiency. In this regard, no significant effect of manual type was found in the current study. It suggests that even when participants need to read more in the explanatory manual condition, their task time does not significantly increase.
The laboratory setup is a limitation of the current study. The setup was simplified in order to reduce learning requirements and allow participants without technical expertise to complete the tasks used this study. Due to the exploratory nature of this initial work using a hypothetical scenario, the design of SOP may not exactly follow general conventions for good procedure design. For example, some of the steps have multiple actions, which can be improved in future work. Industrial plants have much more complicated systems and SOPs. Future studies are needed to further examine the effect of explanatory manuals in actual industrial settings. Another limitation is the use of student trainees in a short duration of study. Recent research findings suggest that operators’ level of experience affects their procedure usage [
16]. Experienced operators, in comparison to novices, may find more issues with SOP and, therefore, be more likely to use their own methods and deviate from SOP. The effectiveness of explanatory manuals needs to be further examined in long-term studies and studies with experienced operators. Nevertheless, the controlled laboratory test in the current study serves as an initial step in examining this research question.
The results of the current study have significant implications for the process industry. Companies need effective and economic methods to improve operators’ adherence to operating procedures. The current finding suggests that explanatory manuals can serve as such a method, which can be used both as learning materials in training and references in operation. We advocate the new approach of explanatory manual design. In addition to providing clear step-by-step instructions about how to do the tasks, designers are recommended to also give reasons why the steps should be closely followed. This also increases the requirement for designers because they must carefully examine their design of SOP and explain their knowledge to operators in plain language that matches the operators’ level of knowledge and understanding. The results of Adherence to Production Order Procedures from the current study showed that participants with engineering education backgrounds benefited from the extra explanation in the explanatory manual, but the effect was not significant for participants from non-engineering background. It is possible that the non-engineering participants may have difficulty in comprehending the explanation. This finding not only emphasizes the need for operator selection but also highlights the challenge for SOP designers to clearly describe the procedures and their purposes with the consideration of operators’ education background.
Although a significant effect of the type of manual on Adherence to Production Order Procedures was found, no significant effect was found for Adherence to Wait Time. A potential explanation may be that in this laboratory simulation scenario, participants may be reluctant to spend extra time waiting for hypothetical reasons. For example, two of the reasons introduced for a waiting procedure were to ensure all residual chemicals are flushed out and to improve washing quality. However, participants knew that only water was used in this test without any actual chemical. This is again a limitation of laboratory experimentation, which should be addressed in future work using actual industrial settings.
Knowing the reasons behind each step will help operators when they want to be creative and improve SOP. Operators’ feedback to SOP manual design is important because operators may know more practical situations and constraints that are different from the designers’ expectation and mental model. Operators should be encouraged to report new ideas to the designers so that the designers can gain the feedback and consider revising SOP based on new information. Through iteration and collaboration, the knowledge gap between designers and operators can be reduced, and SOP and process safety can be improved. Explanatory manuals are key to this new model of SOP design. It is important to note that the current results should be interpreted within routine operations and may not be applicable to complex domains such as healthcare because precisely prescribing SOP becomes difficult or impossible in such complex operations. Building upon the current study, future studies are needed to examine the effect of explanatory manual in actual industrial settings with workers as the participants.
5. Conclusions
In a controlled experiment of operating a hydraulic pump system that represented a routine operation in the process industry, participants’ performance and adherence to operating procedures were measured and compared between the explanatory manual and the procedural manual conditions. The results showed that explanatory manuals had the benefit of increasing Adherence to Production Order Procedures, while time performance, Percent Duration within Bounds, and Adherence to Wait Time were not significantly affected. We advocate the use of explanatory manuals and the approach of explanatory SOP design that focus on bridging the knowledge gap between designers and operators. Explanatory manuals could be an effective and economic way to improve operators’ adherence to operating procedures and should be further tested in industrial settings.